SlideShare a Scribd company logo
1 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Powering The Real-time Digital Enterprise
Next-generation Hyperscale Data Solutions
2 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
The Aerospike Advantage
Superior Reliability &
Persistence
 Five-9’s+ of uptime
 Scales to petabytes
 Strong consistency
Uniquely Hyperscale
 Next-gen, patented Storage Engine
 Predictable High Performance @ Scale
 Dynamic Cluster Management
Proven
 Adopted by recognized industry
pioneers globally
 Replace first-gen NoSQL technology
regularly
 90%+ customer retention
Eliminates Cost +
Complexity
 Reduces server sprawl
 Exceptional TCO
 Simple to configure &
manage
3 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Superior Competitive Advantage
Patented Flash
Optimized Storage
Layer
 Significantly higher
performance & IOPS
Multi-threaded
Massively Parallel
 ‘Scale up’ and ‘Scale out’
Self-healing
clusters
 Superior Uptime,
Availability and Reliability
Storage indices in DRAM
Data on optimized SSD’s
 Predictable Performance
regardless of scale
 Single-hop to data
patented
Aerospike Hybrid Memory Architecture TM
4 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Legacy Caching Architectures Cannot Scale
Caching
Layer
Data Warehouse Data Lake
Legacy RDBMS HDFS Based
Barriers to Hyperscale:
× Overly Complex
× Difficult to Maintain
× Lack Data Consistency
× Poor Durability
× Service Disruptions
× Costly to Maintain
× Performance Degrades
Operational
Database
Enterprise Environment
Transactional
Systems
Legacy Database
(Mainframe)
RDBMS
Database
5 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Data Warehouse Data Lake
Legacy RDBMS HDFS Based
Aerospike Simplifies Legacy Architecture while Solving Scaling Problems
Aerospike
Database
SoE Location 1
SoE Location 2
SoE Location 3
XDR
XDR
Transactional
Systems
Aerospike
Database
XDR
XDR
Enterprise Environment
Transactional
Systems
Legacy Database
(Mainframe)
RDBMS
Database
Delivering Hyperscale:
 Simplicity
 Maintainability
 Durability
 Strong Consistency
 Scalability
 Low Cost ($)
 Less Data Drag
XDR Legacy RDBMS
Data LakeReal-time Data Warehouse
System of Record Query &
Reporting Store
6 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
One Single Real-time Hyperscale DBMS
TB’s 100’s PB’sPB’s
Edge
ms
SoE Location 1
SoE Location 2
SoE Location 3
System of Record
Core
ms
Query & Reporting
sec-to-mins
Query & Reporting
Store
XDRXDR
Legacy
Data Store
Performance + Scale
 Unique End-to-End Solution
 Superior Uptime &
Availability
 Deployment Agility
 Low TCO
AI/ML
XDR
XDR
7 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
“Free is even too expensive
compared to Aerospike.”
Jason Yanowitz - EVP and CTO,
Signal
TCO savings
$4.2M over 3 years
200 Servers 30 Servers
200K/s Reads+Writes 600K/s Reads+Writes
Dramatic Reduction in Complexity and Cost
450 Servers 60 Servers
“Simplicity of IT Ops frees teams
up for future-looking initiatives.”
Guy Almog - Director of Engineering,
Playtika
TCO savings
$6.9M over 3 years
8 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Aerospike vs. Redis:
 2500% increase
Aerospike vs. Cassandra:
 1667% increase @ 15K ops/sec (sustained)
 270% increase @ 92K ops/sec (not sustained)
Aerospike vs. RocksDB:
 300% increase
Performance at Scale – Independent 3rd Party Test Results
“The only solution that can get close with today's technology hardware
and software is Aerospike running on Intel p-mem DIMMs, and that is
about 280,000 sustained read and write operations per second. Which
is about 2,000 percent more than anything else out there.”
Theresa Melvin - Chief Architect of AI-Driven Big Data Solutions, HPE
*Redis could not ‘load’ 500M records in the required timeframe so 50M
records was used for its test
**Cassandra performance dropped ‘off a cliff’ on reads, writes could be
sustained at >90K ops/sec
0 50000 100000 150000 200000 250000
Overall Throughput (ops/sec)
YCSB Workload A - Ops/Sec
Cassanda
RocksDB
Redis
Aerospike
14,996**
79,948
249,980
10,000*
Cassandra
9 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Orchestration Platforms
Bare Metal Commodity
Infrastructure
Traditional Linux Packages
Single-Click Cloud Managed Service
+
Deployable Anywhere
10 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Powering Real-time Enterprise Applications at Hyperscale
 30x less false positives
 Millions in incremental
revenue every day
Payment Fraud Prevention
 PBs of Cold Storage
access < 8ms
 50% higher growth than
competitors
Real-time Bidding
 Hyperscale hybrid cloud
deployment
 30% larger cart size
Personalized
Recommendations
 Scalable to 1000’s of
European banks
 Per transaction cost
under €0.0020
Real-time Digital Payments
 3x server reduction
 3x SLA improvement
Digital Identity Security
 Growing to 600M users
 90% cost reduction
Hyper-Personal
Customer Experience
11 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
ADTECH ECOMMERCE FINANCIAL NEWTECH TELCO GAMING
Powering Industry Leading Innovation Around the World
12 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Our Partners Power Innovation
System Integrators
OEM Partners
Technology Partners
13 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Customer
Case Studies
14 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Hyperscale Ad Targeting
Powering Global Self-Service Ad Platform
 Growth outpacing competitors by 50%
Replaced Cassandra, beat out Scylla
 Reduced node count 9x
Improved omni-channel campaigns
 Significantly more bidding opportunities
Orders of magnitude improvement in SLA
 Data access reduced to < 8ms vs minutes
“Aerospike is by far the best for what we do…It makes a
real big difference for our ability to execute when we’re
trying to follow a customer along the customer journey and
they’re transitioning between states. If you’re an extra 50
milliseconds behind, it can cost you putting the right
message in front of them.”
Dave Pickles – Founder and CTO, The Trade Desk
Edge
60TiB
Metal Edge Cluster
User Lookup
20Mtps
1ms
1-8ms
System of Record
1000 TiB
Coldstore Cluster
User Retrieval 5.5Ktps
Ingest
700Ktps
15 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
European Instant Payments Network
 43 million transactions per day
 24x7x365 availability
Cost a Challenge
 Credit systems charge 2-3%
 Blockchain per transaction: minutes and Euros
Privacy a Challenge
 Private systems sell information
 Blockchain is public record
Benefits with Aerospike
 Costs within €0.0020 per payment
 Scalable to 1000’s of European banks
“In hours I had my dev environment.”
Vitangelo Lasorella - Technical Officer, IT Innovation and
Development Department
Banca D’Italia
Real-time Settlement of Instant Payments
16 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Powering Global Fraud Prevention Network
 $280B+ payments annually
Replaced Oracle + Terracota
 Reduced server footprint 15x
Improved SLAs
 30x reduction in false positives
Increased revenue
 10x improvement in fraud calculation data used
“PayPal is innovating deep analytics to rapidly respond to
emerging fraud patterns, then deploying into an event-driven, fast
data, in-memory architecture to accelerate detection, reduce losses
and achieve near-continuous availability.”
Mikhail Kourjanski, PhD. - Lead Data Architect, Risk and Compliance
Management Platform, PayPal
Real-time Fraud Prevention for Digital Payments
17 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
In Memory vs. Hybrid Memory – SLA in Actual Deployment
30x Improvement in SLA
*Note: @ $300 Million Payments a Day
In-Memory SLA:
$5 Million at Risk* $0.17 Million at Risk*
Hybrid Memory SLA:
18 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Helping Financial Services prevent fraud
 130M transactions daily across 40,000 websites
 100’s of attributes delivered in < 100ms
Replaced Cassandra
 3x server reduction: 96 now 28
 3x latency improvement: 100ms now 30ms
Scaling Growth
 450TB growing to 1.3PB
Savings
 $3.3M over 3 years
“We are simply in a latency game and they are the
best in the latency game.. Aerospike does what it
says. Aerospike just works.”
Matthias Baumhof - CTO, ThreatMetrix
Securing Global Digital Identities at Scale
SLA: Aerospike vs. Cassandra
19 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Global Top 10 Investment Bank & Brokerage
250M transaction & 2M price updates daily
Technology Challenges
Need to grow 4x+
Data inconsistent from mainframe-to-cache
APIs from Browser-to-server (needed)
Benefits with Aerospike
150 servers reduced to 12
$10,000 saved per day with mainframe offloading
Reducing Intraday Trading Risk at Hyperscale
“We are now expanding our use cases with
Aerospike across the business.”
Sr. Vice President, Trading Technology, Charles Schwab
20 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Hyper-personalized Recommendations
Powering Largest US Furniture eTailer
 $6B+ global revenue growing 40%+
Replaced Redis and MemCached
 1/8 the server footprint
Improved personalized recommendations
 Better cart add-on targeting
Increased cart transaction size
 Lower abandon rates, more add-ons
“In 2018 we paved the way for company-wide
adoption of Aerospike following a bake off with
Cassandra and Hbase”
Franklyn Tamalenus - Head of Ad Tech & Customer
Intelligence Engineering, Wayfair
Scoring
Service
Customer
Information
Service
Dynamic
Phone #
Service
21 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Appendix
22 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Next Generation Systems of Engagement
Aerospike Delivers Superior Reliability and Performance at the Lowest TCO
Lowest TCO
TCO ($)
Scale TB
Large, growing, unmet need
Alternative
TCO
Aerospike
TCO
Performance
Scale TB
Significant functional
overlap - Commodity DB
problem set
Strategic Operational Apps
- Superior Uptime & Resiliency
- Transactional
- Low latency
23 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Industry Leading Reviews
Leader for Key-Value Stores Champion in Hybrid Real-Time
Data Processing
4.6 out of 5 – Operational Database
Management Systems
“Low latency, performance, scalability
and a low cost of ownership.
Aerospike offers all of these”
Philip Howard - Research Director,
Information Management, Bloor Report
“Implementation was easy and the
performance exceeded our
expectations”
Senior Managing Director in the Finance
Industry
24 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Aerospike vs. other NoSQL solutions
Aerospike Attributes Other NoSQL
 Scales up before scaling out
 Massive server count reduction
 Data volume & usage drive larger
clusters
 Server sprawl
 Significant cost growth
 Predictable performance at Scale
 Missed app SLAs
 Provisioning more hardware and
caches to meet SLAs
 99999+ uptime
 Compute & memory pressures
 Fighting compactions
 Setup and forget
 Continual care and feeding
 Not working on strategic projects
 Simple to grow clusters online
 Simple to perform rolling upgrades
 Garbage collection, tombstoning &
JVM tuning
 Re-tuning for new workloads or
hardware
 Advance planning to grow clusters
25 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
TCO Savings with Aerospike vs. Cassandra
26 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Client Services Accelerate Success
Onboard Adopt Grow
Orientation and Training
 Define success metrics
 Organize project plan w/Client
Services
 Aerospike Academy
 Intro to Support Team
Accelerate Production Launch
 Analysis, Modeling, Automation,
Monitoring
 Data Migration
 Developer Enablement
Expand Use of Aerospike
 Architecture review
 Upgrade planning/mgmt
 Operations & DevOps
 Production Assessment
Technical Account
Manager Managed Cloud Services
“By using Aerospike Client Services, we were able
to massively accelerate our migration to Aerospike
and saw a 10x return in the first 90 days.”
Jason Yanowitz - EVP and CTO, Signal
27 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Aerospike Storage Engine: Designed for Next Generation Scale
Aerospike’s Tiered Architecture is unique
• In-Memory
• Hybrid Memory
• All Flash
Support for Petabyte scale applications
• ML continuous data ingest
• Edge-based real-time analytics
• System of Engagement/ System of Record
28 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Customer and Partner Testimonials
“Aerospike is becoming a key component of our edge
computation story today”
Sandeep Nawathe - Senior Director of Engineering, Adobe Cloud
Platform, Adobe
“Before Aerospike, we were spending more and more
of our time on the care and feeding of Cassandra. With
Aerospike, we’ve now cleared the roadmap and we’re
just focused on adding new functionality to our
platform for our customers.”
Jason Yanowitz - EVP and CTO, Signal
“The ability to replicate data across region is something
that Aerospike provides that very (few) other NoSQL
databases do with ease. Without Aerospike, we’d be
looking for a new NoSQL data store that performs as well
as Aerospike does, and I haven’t seen one out there.”
Henry Snow - VP, Infrastructure, Nielsen Marketing Cloud, Nielsen
“We are extremely delighted to partner with Aerospike to
deploy a high-performance data layer between our digital
channels and core telecom systems to help us manage the
massive scale of data with best performance. This layer
also acts as a cushion for our core telecom platforms and
optimizes the need to scale our core telecom platforms,
resulting in an improved customer experience.”
Harmeen Mehta - Global CIO and Director of Engineering, Bharti
Airtel
29 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc.
Customer and Partner Testimonials, continued
“..literally it takes zero maintenance
to keep Aerospike going”
Burzin Engineer, Founder and Chief
Reliability Officer, PhonePe
“We saved around two thirds of our
hardware costs in a single switch…The
thing I like most about Aerospike is that it
just works.”
Ido Barkan - Software Architect, AppsFlyer
“In Aerospike we have, we have more than 150 hosts
divided on multiple clusters, which is about one petabyte
net solution... Aerospike has a lot of benefits: easy to
scale, flexible hardware that helps us to save money and
time and optimize the ROI…Aerospike is the best key
value store.”
Dotan Gutmacher - Big Data, DevOps & Infrastructure Team
Leader, Cybereason
“We wanted to build pieces that would allow us to
innovate no matter what the market needed. For example,
if we needed to do retargeting, we want to build that on
top of an infrastructure and not have to reinvent a whole
infrastructure to do retargeting, and we were able to do
that.”
John Krystynak - Founder and CTO, AppLovin

More Related Content

What's hot

Ml ops on AWS
Ml ops on AWSMl ops on AWS
Ml ops on AWS
PhilipBasford
 
snowpro (1).pdf
snowpro (1).pdfsnowpro (1).pdf
snowpro (1).pdf
suniltiwari160300
 
Flexible and Real-Time Stream Processing with Apache Flink
Flexible and Real-Time Stream Processing with Apache FlinkFlexible and Real-Time Stream Processing with Apache Flink
Flexible and Real-Time Stream Processing with Apache Flink
DataWorks Summit
 
Reducing Database Pain & Costs with Postgres
Reducing Database Pain & Costs with PostgresReducing Database Pain & Costs with Postgres
Reducing Database Pain & Costs with Postgres
EDB
 
Zero to Snowflake Presentation
Zero to Snowflake Presentation Zero to Snowflake Presentation
Zero to Snowflake Presentation
Brett VanderPlaats
 
Introducing Databricks Delta
Introducing Databricks DeltaIntroducing Databricks Delta
Introducing Databricks Delta
Databricks
 
Azure SQL Database Managed Instance - technical overview
Azure SQL Database Managed Instance - technical overviewAzure SQL Database Managed Instance - technical overview
Azure SQL Database Managed Instance - technical overview
George Walters
 
re:Invent 2022 DAT326 Deep dive into Amazon Aurora and its innovations
re:Invent 2022  DAT326 Deep dive into Amazon Aurora and its innovationsre:Invent 2022  DAT326 Deep dive into Amazon Aurora and its innovations
re:Invent 2022 DAT326 Deep dive into Amazon Aurora and its innovations
Grant McAlister
 
Snowflake Datawarehouse Architecturing
Snowflake Datawarehouse ArchitecturingSnowflake Datawarehouse Architecturing
Snowflake Datawarehouse Architecturing
Ishan Bhawantha Hewanayake
 
Snowflake Architecture.pptx
Snowflake Architecture.pptxSnowflake Architecture.pptx
Snowflake Architecture.pptx
chennakesava44
 
Delta lake and the delta architecture
Delta lake and the delta architectureDelta lake and the delta architecture
Delta lake and the delta architecture
Adam Doyle
 
How to Prepare for a BI Migration
How to Prepare for a BI MigrationHow to Prepare for a BI Migration
How to Prepare for a BI Migration
Senturus
 
Snowflake essentials
Snowflake essentialsSnowflake essentials
Snowflake essentials
qureshihamid
 
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...
Amazon Web Services
 
Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)
James Serra
 
Druid Adoption Tips and Tricks
Druid Adoption Tips and TricksDruid Adoption Tips and Tricks
Druid Adoption Tips and Tricks
Imply
 
AWS Big Data Platform
AWS Big Data PlatformAWS Big Data Platform
AWS Big Data Platform
Amazon Web Services
 
How to Implement Snowflake Security Best Practices with Panther
How to Implement Snowflake Security Best Practices with PantherHow to Implement Snowflake Security Best Practices with Panther
How to Implement Snowflake Security Best Practices with Panther
Panther Labs
 
DW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptx
Databricks
 
Data Platform Architecture Principles and Evaluation Criteria
Data Platform Architecture Principles and Evaluation CriteriaData Platform Architecture Principles and Evaluation Criteria
Data Platform Architecture Principles and Evaluation Criteria
ScyllaDB
 

What's hot (20)

Ml ops on AWS
Ml ops on AWSMl ops on AWS
Ml ops on AWS
 
snowpro (1).pdf
snowpro (1).pdfsnowpro (1).pdf
snowpro (1).pdf
 
Flexible and Real-Time Stream Processing with Apache Flink
Flexible and Real-Time Stream Processing with Apache FlinkFlexible and Real-Time Stream Processing with Apache Flink
Flexible and Real-Time Stream Processing with Apache Flink
 
Reducing Database Pain & Costs with Postgres
Reducing Database Pain & Costs with PostgresReducing Database Pain & Costs with Postgres
Reducing Database Pain & Costs with Postgres
 
Zero to Snowflake Presentation
Zero to Snowflake Presentation Zero to Snowflake Presentation
Zero to Snowflake Presentation
 
Introducing Databricks Delta
Introducing Databricks DeltaIntroducing Databricks Delta
Introducing Databricks Delta
 
Azure SQL Database Managed Instance - technical overview
Azure SQL Database Managed Instance - technical overviewAzure SQL Database Managed Instance - technical overview
Azure SQL Database Managed Instance - technical overview
 
re:Invent 2022 DAT326 Deep dive into Amazon Aurora and its innovations
re:Invent 2022  DAT326 Deep dive into Amazon Aurora and its innovationsre:Invent 2022  DAT326 Deep dive into Amazon Aurora and its innovations
re:Invent 2022 DAT326 Deep dive into Amazon Aurora and its innovations
 
Snowflake Datawarehouse Architecturing
Snowflake Datawarehouse ArchitecturingSnowflake Datawarehouse Architecturing
Snowflake Datawarehouse Architecturing
 
Snowflake Architecture.pptx
Snowflake Architecture.pptxSnowflake Architecture.pptx
Snowflake Architecture.pptx
 
Delta lake and the delta architecture
Delta lake and the delta architectureDelta lake and the delta architecture
Delta lake and the delta architecture
 
How to Prepare for a BI Migration
How to Prepare for a BI MigrationHow to Prepare for a BI Migration
How to Prepare for a BI Migration
 
Snowflake essentials
Snowflake essentialsSnowflake essentials
Snowflake essentials
 
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...
 
Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)
 
Druid Adoption Tips and Tricks
Druid Adoption Tips and TricksDruid Adoption Tips and Tricks
Druid Adoption Tips and Tricks
 
AWS Big Data Platform
AWS Big Data PlatformAWS Big Data Platform
AWS Big Data Platform
 
How to Implement Snowflake Security Best Practices with Panther
How to Implement Snowflake Security Best Practices with PantherHow to Implement Snowflake Security Best Practices with Panther
How to Implement Snowflake Security Best Practices with Panther
 
DW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptx
 
Data Platform Architecture Principles and Evaluation Criteria
Data Platform Architecture Principles and Evaluation CriteriaData Platform Architecture Principles and Evaluation Criteria
Data Platform Architecture Principles and Evaluation Criteria
 

Similar to What is aerospike database and why is it vastly superior to other database and caching technologies

Aerospike Meetup - Introduction - Ami - 04 March 2020
Aerospike Meetup - Introduction - Ami - 04 March 2020Aerospike Meetup - Introduction - Ami - 04 March 2020
Aerospike Meetup - Introduction - Ami - 04 March 2020
Aerospike
 
Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...
Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...
Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...
Aerospike
 
Aerospike: Enabling Your Digital Transformation
Aerospike: Enabling Your Digital TransformationAerospike: Enabling Your Digital Transformation
Aerospike: Enabling Your Digital Transformation
Brillix
 
Tectonic Shift: A New Foundation for Data Driven Business
Tectonic Shift: A New Foundation for Data Driven BusinessTectonic Shift: A New Foundation for Data Driven Business
Tectonic Shift: A New Foundation for Data Driven Business
Aerospike, Inc.
 
IBM Storage for Financial Services Institutions (1Q 2017)
IBM Storage for Financial Services Institutions (1Q 2017)IBM Storage for Financial Services Institutions (1Q 2017)
IBM Storage for Financial Services Institutions (1Q 2017)
Elan Freedberg
 
Sun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentationSun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentation
xKinAnx
 
New high-density storage server - IBM System x3650 M4 HD
New high-density storage server - IBM System x3650 M4 HDNew high-density storage server - IBM System x3650 M4 HD
New high-density storage server - IBM System x3650 M4 HD
Cliff Kinard
 
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...
Amazon Web Services Korea
 
Building for a Real-time Data Future_Subbu Iyer.pdf
Building for a Real-time Data Future_Subbu Iyer.pdfBuilding for a Real-time Data Future_Subbu Iyer.pdf
Building for a Real-time Data Future_Subbu Iyer.pdf
Aerospike, Inc.
 
MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...
MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...
MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...
Dell EMC World
 
transform your busines with superior cloud economics
transform your busines with superior cloud economicstransform your busines with superior cloud economics
transform your busines with superior cloud economics
Diana Sofia Moreno Rodriguez
 
What would you do with a million cores - HPC on AWS
What would you do with a million cores - HPC on AWSWhat would you do with a million cores - HPC on AWS
What would you do with a million cores - HPC on AWS
Amazon Web Services
 
Cloud computing
Cloud computingCloud computing
Cloud computing
Vincent Kwon
 
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...
Amazon Web Services
 
Di for power v3 1
Di for power v3 1Di for power v3 1
Di for power v3 1
Joergen Floes
 
Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...
Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...
Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...
Teradata Aster
 
comScore
comScorecomScore
comScore
Teradata Aster
 
Leveraging Big Data with Hadoop, NoSQL and RDBMS
Leveraging Big Data with Hadoop, NoSQL and RDBMSLeveraging Big Data with Hadoop, NoSQL and RDBMS
Leveraging Big Data with Hadoop, NoSQL and RDBMS
Aerospike, Inc.
 
4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT
4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT
4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT
TIBCO Jaspersoft
 
Data Protection Picture Book
Data Protection Picture BookData Protection Picture Book
Data Protection Picture Book
Jeremy Boss
 

Similar to What is aerospike database and why is it vastly superior to other database and caching technologies (20)

Aerospike Meetup - Introduction - Ami - 04 March 2020
Aerospike Meetup - Introduction - Ami - 04 March 2020Aerospike Meetup - Introduction - Ami - 04 March 2020
Aerospike Meetup - Introduction - Ami - 04 March 2020
 
Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...
Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...
Handling Increasing Load and Reducing Costs During COVID-19 Crisis - Oshrat &...
 
Aerospike: Enabling Your Digital Transformation
Aerospike: Enabling Your Digital TransformationAerospike: Enabling Your Digital Transformation
Aerospike: Enabling Your Digital Transformation
 
Tectonic Shift: A New Foundation for Data Driven Business
Tectonic Shift: A New Foundation for Data Driven BusinessTectonic Shift: A New Foundation for Data Driven Business
Tectonic Shift: A New Foundation for Data Driven Business
 
IBM Storage for Financial Services Institutions (1Q 2017)
IBM Storage for Financial Services Institutions (1Q 2017)IBM Storage for Financial Services Institutions (1Q 2017)
IBM Storage for Financial Services Institutions (1Q 2017)
 
Sun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentationSun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentation
 
New high-density storage server - IBM System x3650 M4 HD
New high-density storage server - IBM System x3650 M4 HDNew high-density storage server - IBM System x3650 M4 HD
New high-density storage server - IBM System x3650 M4 HD
 
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컴퓨팅 - 조용진 AWS 솔루션즈...
 
Building for a Real-time Data Future_Subbu Iyer.pdf
Building for a Real-time Data Future_Subbu Iyer.pdfBuilding for a Real-time Data Future_Subbu Iyer.pdf
Building for a Real-time Data Future_Subbu Iyer.pdf
 
MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...
MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...
MT126 Virtustream Storage Cloud: Hyperscale Cloud Object Storage Built for th...
 
transform your busines with superior cloud economics
transform your busines with superior cloud economicstransform your busines with superior cloud economics
transform your busines with superior cloud economics
 
What would you do with a million cores - HPC on AWS
What would you do with a million cores - HPC on AWSWhat would you do with a million cores - HPC on AWS
What would you do with a million cores - HPC on AWS
 
Cloud computing
Cloud computingCloud computing
Cloud computing
 
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...
 
Di for power v3 1
Di for power v3 1Di for power v3 1
Di for power v3 1
 
Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...
Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...
Utilizing Aster nCluster to support processing in excess of 100 Billion rows ...
 
comScore
comScorecomScore
comScore
 
Leveraging Big Data with Hadoop, NoSQL and RDBMS
Leveraging Big Data with Hadoop, NoSQL and RDBMSLeveraging Big Data with Hadoop, NoSQL and RDBMS
Leveraging Big Data with Hadoop, NoSQL and RDBMS
 
4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT
4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT
4 REASONS TO LEAVE YOUR LEGACY REPORTING SOLUTION FOR JASPERSOFT
 
Data Protection Picture Book
Data Protection Picture BookData Protection Picture Book
Data Protection Picture Book
 

Recently uploaded

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
dbms calicut university B. sc Cs 4th sem.pdf
dbms  calicut university B. sc Cs 4th sem.pdfdbms  calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
Shinana2
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Jeffrey Haguewood
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
SitimaJohn
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
AWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptxAWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptx
HarisZaheer8
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Finale of the Year: Apply for Next One!
Finale of the Year: Apply for Next One!Finale of the Year: Apply for Next One!
Finale of the Year: Apply for Next One!
GDSC PJATK
 
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStrDeep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
saastr
 
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
alexjohnson7307
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Hiroshi SHIBATA
 
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Jeffrey Haguewood
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
Ivanti
 

Recently uploaded (20)

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
dbms calicut university B. sc Cs 4th sem.pdf
dbms  calicut university B. sc Cs 4th sem.pdfdbms  calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
AWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptxAWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptx
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Finale of the Year: Apply for Next One!
Finale of the Year: Apply for Next One!Finale of the Year: Apply for Next One!
Finale of the Year: Apply for Next One!
 
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStrDeep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
 
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
 
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
 

What is aerospike database and why is it vastly superior to other database and caching technologies

  • 1. 1 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Powering The Real-time Digital Enterprise Next-generation Hyperscale Data Solutions
  • 2. 2 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. The Aerospike Advantage Superior Reliability & Persistence  Five-9’s+ of uptime  Scales to petabytes  Strong consistency Uniquely Hyperscale  Next-gen, patented Storage Engine  Predictable High Performance @ Scale  Dynamic Cluster Management Proven  Adopted by recognized industry pioneers globally  Replace first-gen NoSQL technology regularly  90%+ customer retention Eliminates Cost + Complexity  Reduces server sprawl  Exceptional TCO  Simple to configure & manage
  • 3. 3 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Superior Competitive Advantage Patented Flash Optimized Storage Layer  Significantly higher performance & IOPS Multi-threaded Massively Parallel  ‘Scale up’ and ‘Scale out’ Self-healing clusters  Superior Uptime, Availability and Reliability Storage indices in DRAM Data on optimized SSD’s  Predictable Performance regardless of scale  Single-hop to data patented Aerospike Hybrid Memory Architecture TM
  • 4. 4 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Legacy Caching Architectures Cannot Scale Caching Layer Data Warehouse Data Lake Legacy RDBMS HDFS Based Barriers to Hyperscale: × Overly Complex × Difficult to Maintain × Lack Data Consistency × Poor Durability × Service Disruptions × Costly to Maintain × Performance Degrades Operational Database Enterprise Environment Transactional Systems Legacy Database (Mainframe) RDBMS Database
  • 5. 5 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Data Warehouse Data Lake Legacy RDBMS HDFS Based Aerospike Simplifies Legacy Architecture while Solving Scaling Problems Aerospike Database SoE Location 1 SoE Location 2 SoE Location 3 XDR XDR Transactional Systems Aerospike Database XDR XDR Enterprise Environment Transactional Systems Legacy Database (Mainframe) RDBMS Database Delivering Hyperscale:  Simplicity  Maintainability  Durability  Strong Consistency  Scalability  Low Cost ($)  Less Data Drag XDR Legacy RDBMS Data LakeReal-time Data Warehouse System of Record Query & Reporting Store
  • 6. 6 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. One Single Real-time Hyperscale DBMS TB’s 100’s PB’sPB’s Edge ms SoE Location 1 SoE Location 2 SoE Location 3 System of Record Core ms Query & Reporting sec-to-mins Query & Reporting Store XDRXDR Legacy Data Store Performance + Scale  Unique End-to-End Solution  Superior Uptime & Availability  Deployment Agility  Low TCO AI/ML XDR XDR
  • 7. 7 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. “Free is even too expensive compared to Aerospike.” Jason Yanowitz - EVP and CTO, Signal TCO savings $4.2M over 3 years 200 Servers 30 Servers 200K/s Reads+Writes 600K/s Reads+Writes Dramatic Reduction in Complexity and Cost 450 Servers 60 Servers “Simplicity of IT Ops frees teams up for future-looking initiatives.” Guy Almog - Director of Engineering, Playtika TCO savings $6.9M over 3 years
  • 8. 8 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Aerospike vs. Redis:  2500% increase Aerospike vs. Cassandra:  1667% increase @ 15K ops/sec (sustained)  270% increase @ 92K ops/sec (not sustained) Aerospike vs. RocksDB:  300% increase Performance at Scale – Independent 3rd Party Test Results “The only solution that can get close with today's technology hardware and software is Aerospike running on Intel p-mem DIMMs, and that is about 280,000 sustained read and write operations per second. Which is about 2,000 percent more than anything else out there.” Theresa Melvin - Chief Architect of AI-Driven Big Data Solutions, HPE *Redis could not ‘load’ 500M records in the required timeframe so 50M records was used for its test **Cassandra performance dropped ‘off a cliff’ on reads, writes could be sustained at >90K ops/sec 0 50000 100000 150000 200000 250000 Overall Throughput (ops/sec) YCSB Workload A - Ops/Sec Cassanda RocksDB Redis Aerospike 14,996** 79,948 249,980 10,000* Cassandra
  • 9. 9 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Orchestration Platforms Bare Metal Commodity Infrastructure Traditional Linux Packages Single-Click Cloud Managed Service + Deployable Anywhere
  • 10. 10 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Powering Real-time Enterprise Applications at Hyperscale  30x less false positives  Millions in incremental revenue every day Payment Fraud Prevention  PBs of Cold Storage access < 8ms  50% higher growth than competitors Real-time Bidding  Hyperscale hybrid cloud deployment  30% larger cart size Personalized Recommendations  Scalable to 1000’s of European banks  Per transaction cost under €0.0020 Real-time Digital Payments  3x server reduction  3x SLA improvement Digital Identity Security  Growing to 600M users  90% cost reduction Hyper-Personal Customer Experience
  • 11. 11 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. ADTECH ECOMMERCE FINANCIAL NEWTECH TELCO GAMING Powering Industry Leading Innovation Around the World
  • 12. 12 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Our Partners Power Innovation System Integrators OEM Partners Technology Partners
  • 13. 13 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Customer Case Studies
  • 14. 14 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Hyperscale Ad Targeting Powering Global Self-Service Ad Platform  Growth outpacing competitors by 50% Replaced Cassandra, beat out Scylla  Reduced node count 9x Improved omni-channel campaigns  Significantly more bidding opportunities Orders of magnitude improvement in SLA  Data access reduced to < 8ms vs minutes “Aerospike is by far the best for what we do…It makes a real big difference for our ability to execute when we’re trying to follow a customer along the customer journey and they’re transitioning between states. If you’re an extra 50 milliseconds behind, it can cost you putting the right message in front of them.” Dave Pickles – Founder and CTO, The Trade Desk Edge 60TiB Metal Edge Cluster User Lookup 20Mtps 1ms 1-8ms System of Record 1000 TiB Coldstore Cluster User Retrieval 5.5Ktps Ingest 700Ktps
  • 15. 15 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. European Instant Payments Network  43 million transactions per day  24x7x365 availability Cost a Challenge  Credit systems charge 2-3%  Blockchain per transaction: minutes and Euros Privacy a Challenge  Private systems sell information  Blockchain is public record Benefits with Aerospike  Costs within €0.0020 per payment  Scalable to 1000’s of European banks “In hours I had my dev environment.” Vitangelo Lasorella - Technical Officer, IT Innovation and Development Department Banca D’Italia Real-time Settlement of Instant Payments
  • 16. 16 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Powering Global Fraud Prevention Network  $280B+ payments annually Replaced Oracle + Terracota  Reduced server footprint 15x Improved SLAs  30x reduction in false positives Increased revenue  10x improvement in fraud calculation data used “PayPal is innovating deep analytics to rapidly respond to emerging fraud patterns, then deploying into an event-driven, fast data, in-memory architecture to accelerate detection, reduce losses and achieve near-continuous availability.” Mikhail Kourjanski, PhD. - Lead Data Architect, Risk and Compliance Management Platform, PayPal Real-time Fraud Prevention for Digital Payments
  • 17. 17 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. In Memory vs. Hybrid Memory – SLA in Actual Deployment 30x Improvement in SLA *Note: @ $300 Million Payments a Day In-Memory SLA: $5 Million at Risk* $0.17 Million at Risk* Hybrid Memory SLA:
  • 18. 18 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Helping Financial Services prevent fraud  130M transactions daily across 40,000 websites  100’s of attributes delivered in < 100ms Replaced Cassandra  3x server reduction: 96 now 28  3x latency improvement: 100ms now 30ms Scaling Growth  450TB growing to 1.3PB Savings  $3.3M over 3 years “We are simply in a latency game and they are the best in the latency game.. Aerospike does what it says. Aerospike just works.” Matthias Baumhof - CTO, ThreatMetrix Securing Global Digital Identities at Scale SLA: Aerospike vs. Cassandra
  • 19. 19 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Global Top 10 Investment Bank & Brokerage 250M transaction & 2M price updates daily Technology Challenges Need to grow 4x+ Data inconsistent from mainframe-to-cache APIs from Browser-to-server (needed) Benefits with Aerospike 150 servers reduced to 12 $10,000 saved per day with mainframe offloading Reducing Intraday Trading Risk at Hyperscale “We are now expanding our use cases with Aerospike across the business.” Sr. Vice President, Trading Technology, Charles Schwab
  • 20. 20 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Hyper-personalized Recommendations Powering Largest US Furniture eTailer  $6B+ global revenue growing 40%+ Replaced Redis and MemCached  1/8 the server footprint Improved personalized recommendations  Better cart add-on targeting Increased cart transaction size  Lower abandon rates, more add-ons “In 2018 we paved the way for company-wide adoption of Aerospike following a bake off with Cassandra and Hbase” Franklyn Tamalenus - Head of Ad Tech & Customer Intelligence Engineering, Wayfair Scoring Service Customer Information Service Dynamic Phone # Service
  • 21. 21 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Appendix
  • 22. 22 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Next Generation Systems of Engagement Aerospike Delivers Superior Reliability and Performance at the Lowest TCO Lowest TCO TCO ($) Scale TB Large, growing, unmet need Alternative TCO Aerospike TCO Performance Scale TB Significant functional overlap - Commodity DB problem set Strategic Operational Apps - Superior Uptime & Resiliency - Transactional - Low latency
  • 23. 23 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Industry Leading Reviews Leader for Key-Value Stores Champion in Hybrid Real-Time Data Processing 4.6 out of 5 – Operational Database Management Systems “Low latency, performance, scalability and a low cost of ownership. Aerospike offers all of these” Philip Howard - Research Director, Information Management, Bloor Report “Implementation was easy and the performance exceeded our expectations” Senior Managing Director in the Finance Industry
  • 24. 24 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Aerospike vs. other NoSQL solutions Aerospike Attributes Other NoSQL  Scales up before scaling out  Massive server count reduction  Data volume & usage drive larger clusters  Server sprawl  Significant cost growth  Predictable performance at Scale  Missed app SLAs  Provisioning more hardware and caches to meet SLAs  99999+ uptime  Compute & memory pressures  Fighting compactions  Setup and forget  Continual care and feeding  Not working on strategic projects  Simple to grow clusters online  Simple to perform rolling upgrades  Garbage collection, tombstoning & JVM tuning  Re-tuning for new workloads or hardware  Advance planning to grow clusters
  • 25. 25 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. TCO Savings with Aerospike vs. Cassandra
  • 26. 26 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Client Services Accelerate Success Onboard Adopt Grow Orientation and Training  Define success metrics  Organize project plan w/Client Services  Aerospike Academy  Intro to Support Team Accelerate Production Launch  Analysis, Modeling, Automation, Monitoring  Data Migration  Developer Enablement Expand Use of Aerospike  Architecture review  Upgrade planning/mgmt  Operations & DevOps  Production Assessment Technical Account Manager Managed Cloud Services “By using Aerospike Client Services, we were able to massively accelerate our migration to Aerospike and saw a 10x return in the first 90 days.” Jason Yanowitz - EVP and CTO, Signal
  • 27. 27 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Aerospike Storage Engine: Designed for Next Generation Scale Aerospike’s Tiered Architecture is unique • In-Memory • Hybrid Memory • All Flash Support for Petabyte scale applications • ML continuous data ingest • Edge-based real-time analytics • System of Engagement/ System of Record
  • 28. 28 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Customer and Partner Testimonials “Aerospike is becoming a key component of our edge computation story today” Sandeep Nawathe - Senior Director of Engineering, Adobe Cloud Platform, Adobe “Before Aerospike, we were spending more and more of our time on the care and feeding of Cassandra. With Aerospike, we’ve now cleared the roadmap and we’re just focused on adding new functionality to our platform for our customers.” Jason Yanowitz - EVP and CTO, Signal “The ability to replicate data across region is something that Aerospike provides that very (few) other NoSQL databases do with ease. Without Aerospike, we’d be looking for a new NoSQL data store that performs as well as Aerospike does, and I haven’t seen one out there.” Henry Snow - VP, Infrastructure, Nielsen Marketing Cloud, Nielsen “We are extremely delighted to partner with Aerospike to deploy a high-performance data layer between our digital channels and core telecom systems to help us manage the massive scale of data with best performance. This layer also acts as a cushion for our core telecom platforms and optimizes the need to scale our core telecom platforms, resulting in an improved customer experience.” Harmeen Mehta - Global CIO and Director of Engineering, Bharti Airtel
  • 29. 29 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc. Customer and Partner Testimonials, continued “..literally it takes zero maintenance to keep Aerospike going” Burzin Engineer, Founder and Chief Reliability Officer, PhonePe “We saved around two thirds of our hardware costs in a single switch…The thing I like most about Aerospike is that it just works.” Ido Barkan - Software Architect, AppsFlyer “In Aerospike we have, we have more than 150 hosts divided on multiple clusters, which is about one petabyte net solution... Aerospike has a lot of benefits: easy to scale, flexible hardware that helps us to save money and time and optimize the ROI…Aerospike is the best key value store.” Dotan Gutmacher - Big Data, DevOps & Infrastructure Team Leader, Cybereason “We wanted to build pieces that would allow us to innovate no matter what the market needed. For example, if we needed to do retargeting, we want to build that on top of an infrastructure and not have to reinvent a whole infrastructure to do retargeting, and we were able to do that.” John Krystynak - Founder and CTO, AppLovin