The document outlines an introduction to ScyllaDB, highlighting its features, performance advantages, and modern scaling solutions compared to traditional databases. It emphasizes ScyllaDB's ability to provide predictable performance at scale, lower latency, and developer-friendly APIs, making it an efficient choice for various real-time applications. The presentation also includes insights into its architecture, compatibility with other databases, and resources for getting started with ScyllaDB.

1. Felipe Mendes, Technical Director at ScyllaDB
Getting Started
with ScyllaDB

2. Agenda + Modern Scaling Challenges
+ What is ScyllaDB?
+ ScyllaDB Features
+ Getting Started & Next Steps

3. Yet Another
Database...?

4. 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

5. Nestify – The Business Case for Investing in Web Performance Optimization
Time Matters

6. Database Evolution Over Time
Traditional RDBMS:
+ Structured data
+ Doesn’t scale
Document Store:
+ No structure
+ Limited scale
Key-Value Store:
+ Simple
+ Fast
+ Complex
Column Store:
+ Some structure
+ Best HA/DR
You probably use one or more of these for your organization :-)

7. 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

8. What is ScyllaDB?

9. Predictable
Performance at
Scale

10. Scale Predictably

11. ScyllaDB and Memcached
We Compared ScyllaDB and Memcached and… We Lost?

12. Trillions of messages
60% fewer nodes
5msp99
“It’s a much more
efficient database —
we’re going from running
177 Cassandra nodes to
just 72 ScyllaDB nodes.”
2015 – Million
2016 – Billion
2019 – Trillion
Bo Ingram
How Discord Stores Billions and Trillions of Messages

13. +400 Gamechangers Leverage ScyllaDB
Seamless experiences
across content + devices
Connecting people all
around the globe
Corporate fleet
management
Real-time analytics 2,000,000 SKU -commerce
management
Video recommendation
management
Elastic Kafka Persistent
State Store at scale
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

14. Throughput:Latency Spectrum

15. What's the
Secret?

16. TRIVIA
What do these have in common?

17. The Impact of Thread-Per-Core Architecture on Application Tail Latency

18. Fully Asynchronous Shard per Core
Shared-Nothing Architecture
Why ScyllaDB’s Shard Per Core Architecture Matters

19. Specialized Cache
■ Cache is LRU on rows
● Use BYPASS CACHE for analytical workloads
■ Unlimited Fetch Ceiling
■Efficient access & maintenance
●Thanks to replica collocation and design
CPU 0
CPU 1
CPU 2
CPU 3
Inside ScyllaDB's Internal Cache

20. API Compatibility: CQL and Amazon DynamoDB
Key Value Document Wide Column Graph
ScyllaDB vs. DynamoDB

21. We are ScyllaDB.
Not Cassandra, not DynamoDB.

22. Repair? Tombstones? Data Resurrection?
■ Worst things a database can do:
■ Lose data
■ Corrupt data
■ Resurrect data
■ Not a problem with ScyllaDB
■ We take your data seriously
■ We know repair is painful
Faster, Safer Node Operations with Repair vs Streaming

23. Tablets – True Elastic Scale
■ Faster Topology Changes
■ Immediate Request Serving
■ Easy Downscale (saves money :-)
■ Auto Balancing
AWS DynamoDB Auto Scaling is Not a Magic Bullet

24. Tablet File-based streaming
■ "Similar" to Cassandra Zero-copy Streaming
■ But actually works ;-)
■ Tablets are always owned by the replica
■ Simply copy, done.
■ 75% faster than Open Source for Streaming

25. Raft – Strongly Consistent *
■ Foundation for Strongly Consistent:
■ Tablets
■ Schema Changes
■ Topology Changes
■ Authentication Updates
■ Service Levels
RAFT
Safe
schema
changes
Safe
topology
changes
Dynamic
partitionin
g
Consistent
tables
Tablets
5.0
5.2
5.2+
6.0
ScyllaDB’s Safe Topology and Schema Changes on Raft

26. ScyllaDB Enterprise
■ Up to 1.5x Higher Throughput than Open Source
■ Up to 35% Lower Latencies (mean and P99)
New ScyllaDB Enterprise: Up to 50% Higher Throughput, 33% Lower Latency

27. Network (RPC) Compression Improvements

28. bit.ly/scylladb-getting-started
Get Started with ScyllaDB!

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

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

31. cout << "Hello World!";
Felipe Mendes, Technical Director at ScyllaDB
+ Published Author on Linux and Databases
+ ScyllaDB Committer
+ "Plant a tree, have a child, write a book"

32. Poll: What are
your existing
challenges?

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

34. assertm(1 + 1 == 5, "Gotta run!");
Felipe Mendes
felipe@scylladb.com
@felipemendes.dev
scylladb.com
Thank you! Let’s connect.

35. We value your feedback!