ScyllaDB is a high-performance, low-latency database solution designed for data-intensive applications, offering over 5x higher throughput and over 20x lower latency compared to traditional databases. It supports modern infrastructure, provides significant cost savings, and integrates seamlessly with existing systems like Apache Cassandra and DynamoDB. The tool is aimed at eliminating complexity while ensuring predictable performance, making it suitable for a wide range of applications including real-time analytics and scalable deployment options.

1. ScyllaDB
Virtual Workshop
Felipe Cardeneti Mendes, Solutions Architect, ScyllaDB

2. + For data-intensive applications that require high
throughput and predictable low latencies
+ Close-to-the-metal design takes full advantage of
modern infrastructure
+ >5x higher throughput
+ >20x lower latency
+ >75% TCO savings
+ Compatible with Apache Cassandra and Amazon
DynamoDB
+ DBaaS/Cloud, Enterprise and Open Source
solutions
The database for gamechangers
2
“ScyllaDB stands apart...It’s the rare product
that exceeds my expectations.”
– Martin Heller, InfoWorld contributing editor and reviewer
“For 99.9% of applications, ScyllaDB delivers all the
power a customer will ever need, on workloads that other
databases can’t touch – and at a fraction of the cost of
an in-memory solution.”
– Adrian Bridgewater, Forbes senior contributor

3. 3
+400 gamechangers leverage ScyllaDB
Seamless experiences
across content + devices
Digital experiences at
massive scale
Corporate fleet
management
Real-time analytics 2,000,000 SKU -commerce
management
Video recommendation
management
Threat intelligence service
using JanusGraph
Real time fraud detection
across 6M transactions/day
Uber scale, mission critical
chat & messaging app
Network security threat
detection
Power ~50M X1 DVRs with
billions of reqs/day
Precision healthcare via
Edison AI
Inventory hub for retail
operations
Property listings and
updates
Unified ML feature store
across the business
Cryptocurrency exchange
app
Geography-based
recommendations
Global operations- Avon,
Body Shop + more
Predictable performance for
on sale surges
GPS-based exercise
tracking
Serving dynamic live
streams at scale
Powering India's top
social media platform
Personalized
advertising to players
Distribution of game
assets in Unreal Engine

4. Presenter
4
Felipe Cardeneti Mendes
Felipe Mendes is an IT Specialist with years of experience with
Linux and other distributed systems. Felipe has a vast
experience deploying workloads across a variety of different
computing architectures, including Mainframes. An open
source enthusiast, he has a passion towards helping
businesses to achieve their most challenging goals.
In ScyllaDB, he works as a Solutions Architect.

5. Agenda + Database Pain Points
+ Where ScyllaDB fits
+ Getting Started
+ Next Steps

6. Modern scaling challenges
Keep CapEx
& OpEx in check
Reduce complexity
Scale as the
data grows
Queries in
milliseconds
Leverage massive
amounts of data
Predictable, consistent
performance

7. Poll: What are your
existing
challenges?

8. Store and retrieve massive
amounts of data arriving at
high velocity
What's needed?
Consistent user experiences
for competitive advantages
Always available,
always on
Freedom to focus on
creating applications
Increase productivity
while decreasing cost
Anywhere, anytime

9. Data-intensive apps must be
distributed
Human data
“The size of the digital universe will double every two years.” — IDC
10X
Faster growth
than traditional
business data
4.4ZB | 44.4ZB
50X
.09ZB | 4.4ZB
Business data
Sensor data
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10. Server sprawl
Increased administrative complexity and increased costs are a symptom when
databases do not take advantage of modern hardware.
Node
Sprawl

11. Tail latency problem
Refresh
User App Business Logic Database
API Calls
DB Calls
Slowest 1% dominates latency

12. What most people do
Refresh
User App Business Logic
Database
API Calls
D
B
C
a
l
l
s
Problem solved?
Cache
Cache
Calls

13. What’s your biggest database headache?
High latency
Low throughput
Need 3 PhDs to manage
Too expensive
Database consolidation
Hard to scale
Survey of 1,850 attendees at AWS re:Invent

14. Where ScyllaDB fits

15. Database evolution
1970s
Mainframes:
inception of the
relational model
1990s
LAN age:
replication, external
caching, ORMs
SQL
1980s
SQL, relational
databases become
de-facto standard
2000s
WEB 2.0:
NoSQL databases
for scale
2010s
Cloud age:
commoditization
of NoSQL, NewSQL
inception
1996
1995
1978 2008 2015

16. Cloud evolution: Last ~15 years
16
SSD: $2500/TB
2008 2012
Typical instance 4 cores
SSD $100/TB - 1000x faster, 10x cheaper
96 core VMs - 20x more cores
100Gbps NICs - 100x more throughput
2015 2022
2000 CPU core systems and
beyond

17. Previous databases don’t suffice
SQL Database:
+ Structured data
+ Doesn’t scale
Document Store:
+ No structure
+ Limited scale
Key-Value Store:
+ Simple
+ Fast
+ No persistence
Column Store:
+ Some structure
+ Best HA/DR

18. Lower Node
Count
Efficient hardware usage
results in direct savings
What if we had it all in one…
Predictable,
Low Latencies
Consistent single-digit
millisecond p99 latencies
Less
Complexity
Self-optimizing, smaller
footprint, easy to use
Developer-friendly
APIs
Ease of migration and less
development cycles

19. ScyllaDB is the database for data-intensive apps
that require high performance and low latency

20. Lower Your Cost
of Ownership
Requires far fewer
infrastructure resources
The database for gamechangers
Operate in Real-Time
All the Time
ScyllaDB consistently
delivers low latencies
Eliminate Complexity
from Your Systems
Self-optimizing & self-tuning
reduces administration
Scale to Match
Your Growth
ScyllaDB scales out and up
to match any workload

21. unique
21
Our technology
Horizontal & Vertical Scaling
Unique Close-to-Metal Architecture
Built in C++
(no Java overhead)
Everything
Asynchronous
Shared Nothing Shard per Core Autonomous
Network
Processor NUMA
Storage

22. Ecosystem compatibility
+ Cassandra (CQL) protocol
+ DynamoDB HTTP protocol
+ Shard-aware drivers
+ Active-Active topology
+ Geo-replication built-in
+ Always-on deployments

23. What a difference a database makes
ScyllaDB vs. DynamoDB
1/5th cost
20x better throughput
ScyllaDB vs Google Bigtable
1/5th the cost
26x better throughput
ScyllaDB vs. Cassandra
5x better throughput
2-20x better latency

24. Poll: Which databases
are you currently
working with?

25. Getting started

26. Deployment options
On-Prem
Cloud Hosted
ScyllaDB Cloud
Best High Availability in the industry
Best Disaster Recovery in the industry
Best scalability in the industry
Best Performance in the industry
Auto-tune out of the box performance
Fully compatible with Cassandra & DynamoDB
Wide-range of options to get started with ScyllaDB

27. ScyllaDB Monitoring Stack
▪ Based on Prometheus and Grafana
▪ CQL and DynamoDB dashboards
▪ Query Optimization panels
▪ Alerting integration via Alert Manager

28. ScyllaDB Manager
▪ Cluster management made easy
▪ Repairs and Backups without a hassle
▪ Restore with a single command
▪ Integrated with ScyllaDB Monitoring
sctool
CLI
ScyllaDB Manager ScyllaDB cluster
REST API Scylla REST API

29. Workshop Demo

30. Part 1: Real-time Streaming
CDC Streams
Token ring
CDC
Go
Driver
The CDC Go driver handles round-robin traversal.

31. Part 2: Let's play a game!
Token ring
+ Tic-tac-toe sample using the boto3 framework;
+ Code is licensed under the Apache-2.0 and initially written by Amazon;
+ Works out of the box with ScyllaDB Dynamo API;
+ Online web multiplayer game;

32. Book a session with us!
+ If you are interested in evaluating your current workloads to learn how you can
save more, you can sign up for a Technical Evaluation session with me.
Link : https://www.scylladb.com/product/technical-consultation/
+ Or email me directly if you have any questions.
+ felipemendes@scylladb.com
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33. Summary
+ Start deploying ScyllaDB today, it is simple and effortless
+ Gather your applications and business requirements
+ Select the right infrastructure
+ Think about scalability, resiliency and high availability
We will send you these links via email along with the video for reference.
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34. We value your feedback!

35. Resources
Learn More on ScyllaDB University
Join Slack and Talk to Our Community and Developers
Learn How Other People and Companies are Using ScyllaDB
NoSQL Concepts Whitepaper
Apache Cassandra Query Language (CQL)
Tips on How to Design an Application to Use ScyllaDB Efficiently
Maximizing Performance While Minimizing Timeouts

36. Next Steps
ScyllaDB Cloud
Start free Trial
scylladb.com/cloud
ScyllaDB University
Free online learning
scylladb.com/university
ScyllaDB
Resources
Visit our resource center
resources.scylladb.com

37. Thank you
for joining us today.
@scylladb scylladb/
slack.scylladb.com
@scylladb company/scylladb/
scylladb/