Presentation on Cassandra

3. Uses Amazon’s Dyanamo’s fully distributed design.

4. Uses Google’s BigTable’sColumnFamily-based data model.

5. Developed by facebook

7. Fault Tolerant

8. Decentralized

9. Eventually Consistent

10. Rich Data Model

11. Elastic

13. Ugly

14. No streaming

15. Disc vs CPU Tradeoff

16. Denormalized data

19. Replication across multiple data centers is supported.

21. There are no network bottlenecks.

22. There are no single points of failure.

24. As the data is replicated, the latest version of something is sitting on at least one node in the cluster, but older versions can still be on other nodes.

26. Column Family

27. Rows

28. Column

32. A row can have a virtually unlimited number of columns.

35. A column that is part of a super column can not be a super column itself.

38. Guarantee reads and write ConsistencyLevels, from one node to all nodes.

40. Read ConsistencyLevels

42. Start with empty database

43. Insert 1 year of data with 100 records per day.

45. 3.68 ms / insert

46. Random Write

47. Cassandra

48. 1.27 ms / insert