Quick Cassandra Overview given to Dublin User Group on the 20th of January. Includes some highlight use cases.

1. Cassandra In Industry
Niall Milton, CTO, DigBigData

2. Overview
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What is Apache Cassandra?
Who uses Apache Cassandra?
Real Use Cases
Questions
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3. What is Apache Cassandra?
Massively scalable open source NoSQL database
Dynamic SQL-like data modeling and querying
Master-less architecture, no SPOF
Linear scalability, high availability / reliability
Tuneable consistency
New Core Value : Ease of Use!
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4. Who Uses Apache Cassandra?
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5. And…
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6. Drivers…
Java
.NET
Python
Ruby & PHP on the way
Feeling Energetic? Use native protocol to roll your
own client.
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7. Use Case : Netflix
The Business
33 million members in 40 countries
Almost 100% deployed in Amazon Cloud
Biggest single source of internet traffic in terms of
volume
More than 1 billion videos delivered each month
Core data services served from Cassandra since 2010
100s of nodes split into isolated clusters per service
Managed and Deployed via Netflix OSS
© DigBigData 2014
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8. Use Case : Netflix
Why Cassandra?
Low Latency & latency variance
Linear scaling of reads and writes
Each cluster uses nodes from different availability zones
Ring is self repairing after outages
Supports node backups & snapshots
They found CL One suited their needs for most use cases
They run massive simulations in Amazon to test their
assumptions re. latency, data growth etc.
© DigBigData 2014
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9. Use Case : EBay
The Business
75 billion dollars in goods sold per year
112 million ACTIVE users
400+ million items for sale
Billions of page views / day
Running 1000s of servers
Processing TB per second
We get it, Ebay is big!
© DigBigData 2014
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10. Use Case : EBay
Architecture
Mixed Data Architecture, also using Mysql, Oracle,
MongoDB & Hadoop
Over 100 cassandra nodes deployed with 9 billion
writes / day & 5 billion reads / day
Ethos is to use the right tool for a particular job.
Cassandra is good for sparse data, big data, flexible
schemas & real-time analytics
Many use cases don’t require RDBMS
© DigBigData 2014
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11. Use Case : EBay
Why Cassandra?
Multi-DC, active-active configuration.
Less waste, no dark nodes.
Always available
Easily scaled up and down
High write throughput
Distributed counters
Hadoop support
© DigBigData 2014
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12. Use Case : EBay
But what does it do?
Time series data, real time insights and immediate
actions
Anti-fraud
Order and shipping insights
Server metrics collection for monitoring and alerting
Personalization & taste graphing
Runtime quality click pricing for affiliates
Mobile notification logging and tracking
© DigBigData 2014
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13. Use Case : Hailo
The Business
World’s highest rated taxi app
Over 500,000 registered passengers
Hailo e-hail is accepted every 4 seconds globally
Operating in 10 cities after just 18 months of
operation (as of 2013)
Processes over 100million dollars in customer & driver
transactions.
© DigBigData 2014
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14. Use Case : Hailo
Why Cassandra?
Historically using MySQL in AWS
Rapid global expansion required higher scalability
Global replication desired
Growth forecasts indicated high growth rate.
Cassandra easily scaled to meet this demand
Some prior engineering experience and confidence in
the technology
Using Acunu for some analytics work. It uses
Cassandra under the hood.
© DigBigData 2014
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15. Conclusion
Numerous examples of companies adopting Cassandra to
answer the demands of high volume workloads
Easily supports mixed workloads and is highly tuneable to
favour read, write or both
Supports rapid service rollouts (Netflix have built an entire
development culture around this)
Where ease of scale, flexible schema design, high
availability and hurricane survival are required Cassandra
meets the need.
© DigBigData 2014
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16. Questions?
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17. Questions?
?
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