July 20–24, 2015
Portland, OR

Cassandra 3.0: improved productivity with JSON

Jonathan Ellis (DataStax, Inc)
4:10pm–4:50pm Thursday, 07/23/2015
Data D137/138
Average rating: ****.
(4.80, 5 ratings)

Prerequisite Knowledge

The target audience is a developer familiar with relational databases and JSON.


This session will explore the new features in Cassandra 3.0, starting with JSON support. Cassandra now allows storing JSON directly to Cassandra rows and vice versa, making it trivial to deploy Cassandra as a component in modern service-oriented architectures.

Cassandra 3.0 also delivers other enhancements to developer productivity: user-defined functions let developers deploy custom application logic server-side with any language conforming to the Java scripting API, including Javascript. Global indexes allow scaling indexed queries linearly with the size of the cluster, a first for open-source nosql databases.

Finally, we will cover the performance improvements in Cassandra 3.0 as well.

Jonathan Ellis

DataStax, Inc

Jonathan Ellis is CTO and co-founder at DataStax. Prior to DataStax, Jonathan worked extensively with Apache Cassandra while employed at Rackspace. Prior to Rackspace, Jonathan built a multi-petabyte, scalable storage system based on Reed-Solomon encoding for backup provider Mozy. In addition to his work with DataStax, Jonathan is project chair of Apache Cassandra.