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Considering TCO
2 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc
Company
• Founded: 2009, Silicon Valley, CA
• Employees: ~100 employees worldwide
• Customers: 250+
• Solution: Real-time database engine
• Analysts: Gartner, Forrester, 451 Research
Key differentiators
• Unique architecture/design for Flash Drives
• Large data sets with high speed interaction
• Significant cost reductions
• Becoming standard for real-time banking
Typical real-time use cases
• Instant payments
• Fraud reduction
• Ad placement & auctions
• Recommendations
• Website – enhanced user experience
• Network analytics
• User profile stores
• RT Billing
• RT Pricing
• IOT (such as smart meters, self drive cars)
About Aerospike
3 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc
Aerospike – engineered for performance at scale
Indexes in DRAM
Data on SSD
• Small amount of DRAM
• For the indexes only
• Avoid cost and server sprawl
• No cache, so no cache misses
• Predictable, low latency performance on NVMe/SSD
• Engineered and optimized for SSDs
• SSDs around 10-15x lower cost than DRAM - $1k per TB
• Much more data per node (up to 100TB)
• Reads done in parallel
• Writes done optimally for SSD to reduce wear-and-tear
(raw I/O)
4 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc
Next Generation database
An Emerging Market with Multiple Technologies
Hybrid Memory Architecture Delivers Predictable Performance, Highest Availability, and Lowest TCO
TCO
($)
Scale TB
Alternative
TCO
Aerospike
TCO
Speed
TPS
Scale TB
Significant functional
overlap - Commodity DB
problem set
Unique Functional
Capabilities and High
Value Problem Set
5 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc
Significantly Reduce TCO using Aerospike
Consider storing 10TB of data which is ingested and read in real-time – single digit millisecond response
• The only approach (other than using Aerospike) which could achieve this would be a memory first based
solution and the data would also need to be persisted with an underlying database. Taking an in-memory based
approach would look something like this.
• 10TB would be replicated 3x = 30TB of unique data and likely across at least 2 data centres for HA/DR
etc. = 60TB of unique data. 6x the original.
• Server/Node = 500GB RAM = approx. 400GB of usable RAM per node for data storage (not persisted).
• 60TB = 150 nodes (plus the underlying database tech).
• Assuming $12k/server for the hardware = $5m over 3 years - then add the cost of the licenses (assuming
it’s not open source).
• With Aerospike it is very different. For 10TB (60TB across 2 DC’s and 3x replication), Aerospike performs the
same if not better than a memory first architecture, typically with just 4 nodes per data centre = 8 nodes in total
(assuming $25k/server as SSDs are used) = $900k over 3 years - a 6x difference.
6 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc
Significantly Reduce TCO using Aerospike
Server/Node = 500GB RAM = approx. 400GB of usable RAM per node for data storage (not persisted). Costs are in USD$.
Unique data
(TBs)
All data
(TBs)
Nodes
Basic
Server cost
Annual
maintenance
Electricity, DC
costs etc.
FTE’s
Total 1st
year cost
Costs over 3 years
1 6 15 180,000 36,000 36,000 150,000 402,000 846,000
2 12 30 360,000 72,000 72,000 150,000 654,000 1,242,000
3 18 45 540,000 108,000 108,000 200,000 956,000 1,788,000
4 24 60 720,000 144,000 144,000 200,000 1,208,000 2,184,000
5 30 75 900,000 180,000 180,000 300,000 1,560,000 2,880,000
10 60 150 1,800,000 360,000 360,000 400,000 2,920,000 5,160,000
20 42 300 3,600,000 720,000 720,000 500,000 5,540,000 9,420,000
Memory first / cache approach – data may also be stored using additional hardware/software
Unique data
(TBs)
All data
(TBs)
Nodes
Basic
Server cost
Annual
maintenance
Electricity, DC
costs etc.
FTE’s
Total 1st
year cost
Costs over 3 years
1 6 6 150,000 30,000 30,000 150,000 360,000 780,000
2 12 6 150,000 30,000 30,000 150,000 360,000 780,000
3 18 6 150,000 30,000 30,000 150,000 360,000 780,000
4 24 6 150,000 30,000 30,000 150,000 360,000 780,000
5 30 6 150,000 30,000 30,000 150,000 360,000 780,000
10 60 8 200,000 40,000 40,000 150,000 430,000 890,000
20 42 10 250,000 50,000 50,000 150,000 500,000 1,000,000
Using Aerospike – all data persisted and secure
7 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc
Aerospike – at a glance
• Proven and well tested database technology designed for real-time uses at scale
• Sub millisecond latencies, 99th percentile
• Scales to millions of read/write transactions per second
• Scales to PB’s of real-time data
• Low cost at scale due to use of SSD’s Vs DRAM
• Mostly used in banking, telco, digital advertising, gaming companies
• Trusted technology for mission critical systems
• Ease of deployment, adoption, maintenance – it just works
• Connectors for Spark, Kafka, Hadoop
• Simple licensing model based upon unique data stored on SSDs and number of clusters

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JavaLand 2024: Application Development Green Masterplan
 

Aerospike TCO Vs memory-first architectures

  • 2. 2 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc Company • Founded: 2009, Silicon Valley, CA • Employees: ~100 employees worldwide • Customers: 250+ • Solution: Real-time database engine • Analysts: Gartner, Forrester, 451 Research Key differentiators • Unique architecture/design for Flash Drives • Large data sets with high speed interaction • Significant cost reductions • Becoming standard for real-time banking Typical real-time use cases • Instant payments • Fraud reduction • Ad placement & auctions • Recommendations • Website – enhanced user experience • Network analytics • User profile stores • RT Billing • RT Pricing • IOT (such as smart meters, self drive cars) About Aerospike
  • 3. 3 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc Aerospike – engineered for performance at scale Indexes in DRAM Data on SSD • Small amount of DRAM • For the indexes only • Avoid cost and server sprawl • No cache, so no cache misses • Predictable, low latency performance on NVMe/SSD • Engineered and optimized for SSDs • SSDs around 10-15x lower cost than DRAM - $1k per TB • Much more data per node (up to 100TB) • Reads done in parallel • Writes done optimally for SSD to reduce wear-and-tear (raw I/O)
  • 4. 4 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc Next Generation database An Emerging Market with Multiple Technologies Hybrid Memory Architecture Delivers Predictable Performance, Highest Availability, and Lowest TCO TCO ($) Scale TB Alternative TCO Aerospike TCO Speed TPS Scale TB Significant functional overlap - Commodity DB problem set Unique Functional Capabilities and High Value Problem Set
  • 5. 5 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc Significantly Reduce TCO using Aerospike Consider storing 10TB of data which is ingested and read in real-time – single digit millisecond response • The only approach (other than using Aerospike) which could achieve this would be a memory first based solution and the data would also need to be persisted with an underlying database. Taking an in-memory based approach would look something like this. • 10TB would be replicated 3x = 30TB of unique data and likely across at least 2 data centres for HA/DR etc. = 60TB of unique data. 6x the original. • Server/Node = 500GB RAM = approx. 400GB of usable RAM per node for data storage (not persisted). • 60TB = 150 nodes (plus the underlying database tech). • Assuming $12k/server for the hardware = $5m over 3 years - then add the cost of the licenses (assuming it’s not open source). • With Aerospike it is very different. For 10TB (60TB across 2 DC’s and 3x replication), Aerospike performs the same if not better than a memory first architecture, typically with just 4 nodes per data centre = 8 nodes in total (assuming $25k/server as SSDs are used) = $900k over 3 years - a 6x difference.
  • 6. 6 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc Significantly Reduce TCO using Aerospike Server/Node = 500GB RAM = approx. 400GB of usable RAM per node for data storage (not persisted). Costs are in USD$. Unique data (TBs) All data (TBs) Nodes Basic Server cost Annual maintenance Electricity, DC costs etc. FTE’s Total 1st year cost Costs over 3 years 1 6 15 180,000 36,000 36,000 150,000 402,000 846,000 2 12 30 360,000 72,000 72,000 150,000 654,000 1,242,000 3 18 45 540,000 108,000 108,000 200,000 956,000 1,788,000 4 24 60 720,000 144,000 144,000 200,000 1,208,000 2,184,000 5 30 75 900,000 180,000 180,000 300,000 1,560,000 2,880,000 10 60 150 1,800,000 360,000 360,000 400,000 2,920,000 5,160,000 20 42 300 3,600,000 720,000 720,000 500,000 5,540,000 9,420,000 Memory first / cache approach – data may also be stored using additional hardware/software Unique data (TBs) All data (TBs) Nodes Basic Server cost Annual maintenance Electricity, DC costs etc. FTE’s Total 1st year cost Costs over 3 years 1 6 6 150,000 30,000 30,000 150,000 360,000 780,000 2 12 6 150,000 30,000 30,000 150,000 360,000 780,000 3 18 6 150,000 30,000 30,000 150,000 360,000 780,000 4 24 6 150,000 30,000 30,000 150,000 360,000 780,000 5 30 6 150,000 30,000 30,000 150,000 360,000 780,000 10 60 8 200,000 40,000 40,000 150,000 430,000 890,000 20 42 10 250,000 50,000 50,000 150,000 500,000 1,000,000 Using Aerospike – all data persisted and secure
  • 7. 7 Proprietary & Confidential | All rights reserved. © 2019 Aerospike Inc Aerospike – at a glance • Proven and well tested database technology designed for real-time uses at scale • Sub millisecond latencies, 99th percentile • Scales to millions of read/write transactions per second • Scales to PB’s of real-time data • Low cost at scale due to use of SSD’s Vs DRAM • Mostly used in banking, telco, digital advertising, gaming companies • Trusted technology for mission critical systems • Ease of deployment, adoption, maintenance – it just works • Connectors for Spark, Kafka, Hadoop • Simple licensing model based upon unique data stored on SSDs and number of clusters