Apache Cassandra has become a core element of most modern data architectures and in this video we'll explore when to use a NoSQL database like Cassandra and when you need the transactional consistency of a distributed SQL database like CockroachDB. It scales and allows you to get data where you need it for some distributed workloads. It was architected to meet these requirements but traded speed of access for other characteristics. So, not every distributed workload fits Cassandra.
What happens with Cassandra when you need transactional consistency or continuous updates to your application data? These workloads require a database that not only delivers effortless scale but will also deliver transactional guarantees. This is where CockroachDB fits.
In this webinar, we will walk through workloads and where each database can deliver value for your workloads by walking through:
Key architectural differences between Cassandra and CockroachDB
When to pick CockroachDB over Cassandra
How CockroachDB can deliver on your “system of record” requirements
00:00 Speaker Introductions
5:50 Quick history of Cassandra
6:30 Why is Cassandra called Cassandra?
6:59 What companies use Cassandra?
8:30 How does Cassandra work?
10:14 Query first architecture
11:36 What is CockroachDB?
15:22 How database replication works
16:06 Hash partitioning vs range partitioning
21:54 How scale works in Cassandra
24:09 How does Cassandra survive failure
27:16 Problems in Cassandra
30:50 How CockroachDB employs RAFT
35:25 What is CQL?
40:24 Transactions in Cassandra
43:45 Time travel queries
48:38 Data Locality
56:35 When to use cassandra
Links Referenced in the webinar:
Netflix Tech Blog: https://netflixtechblog.com/
The architecture of Distributed SQL: • The architecture of a Geo-Distributed...
Compare Cassandra & CockroachDB: https://www.cockroachlabs.com/docs/v2...
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