Version 2.1.4 of the DataStax Python driver for Apache Cassandra is released!
DataStax Enterprise 4.5.5 is now available for download. This release includes patches for updates to Cassandra 18.104.22.168, fixing a race condition issue for indexing, fixing the incorrect SQL index using DSE Sqoop from Oracle, and updates to Spark connector 1.0.6, etc.
CCM provides full functionality of a real Apache Cassandra cluster for development purposes, and now it is also supported on Windows.
Today marks the first double release of the Ruby Driver with both 1.2 and 2.0 versions being released simultaneously.
On Tuesday, January 13 Helena Edelson gave a webinar on Apache Spark, Spark Streaming and Cassandra. This is a follow-up post to that webinar, answering everyone’s questions. In the talk she introduced Spark, Spark Streaming and Cassandra with Kafka and Akka and discussed why these particular technologies are a great fit for lambda architecture due to some key features and strategies they all have in common. We walked through an introduction to implementing each, then showed how to integrate them into one clean streaming data platform for real-time delivery of meaning at high velocity. All this in a highly distributed, asynchronous, parallel, fault-tolerant system.
Overview In DSE 4.5, we released the first iteration of the DataStax Enterprise Performance Service, a CQL-based interface that helps users monitor the state of their Cassandra cluster.
The DataStax C/C++ driver is one of the newest members of the DataStax drivers family.