DataStax Developer Blog

Welcome to the DataStax Developer Blog. Here’s where you can find the latest insights and technical articles from top experts and fellow peers on development aspects of DataStax Enterprise and its components, including Apache Cassandra, Apache Hadoop, Apache Solr and DataStax OpsCenter.

For ongoing discussions about our company and general perspectives about DataStax products, please visit our company blog.

Looking for Cassandra Community insights? Visit the Cassandra blog on Planet Cassandra.

DataStax C# Driver 3.0 Released

By Jorge Bay Gondra - December 21, 2015

We’ve just released version 3.0.0 of the DataStax C# Driver with support for Apache Cassandra 3.0. The main focus for this release was to add support for the changes in the schema metadata introduced in Cassandra 3.0 that is used internally by the driver, while maintaining compatibility with earlier versions of Cassandra.

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Python Driver 3.0.0 Released, Including Support for Cassandra 3.0.0

By Adam Holmberg - November 24, 2015

Today we are happy to announce the release of the DataStax Python Driver 3.0.0 for Apache Cassandra. The main focus of this release was to add support for the updated schema metadata introduced in Cassandra 3.0, while maintaining compatibility with earlier server versions.

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Running multiple DataStax Enterprise nodes in a single host

By Ulises Cervino - November 10, 2015

This article is about setting up a DataStax Enterprise cluster running in a single host. There are a variety of reasons why you might want to run a DataStax Enterprise cluster inside a single host. For instance, your server vendor talked you into buying this vertical-scale machine but Cassandra can't effectively use all the resources available. Or your developers need to test your app as they develop it, and they'd rather test it locally. Whatever the reason, you'll learn how to set the cluster up from the ground up.

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Using the Cassandra Data Modeler to Stress and Size C*/DSE Instances

By Sebastian Estevez - October 29, 2015

Summary Here’s the link to the Data Modeler that is discussed in this post. The main drivers behind Cassandra performance are: Hardware Data Model Application specific design and configuration For many early stage projects that are trying to make hardware and data modeling decisions to maximize performance, it is often beneficial to take the app specific questions out of the equation and design and test a table that will scale on a given hardware configuration.

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DataStax C/C++ Driver: 2.2 GA released!

By Michael Penick - October 29, 2015

We are pleased to announce the 2.2 GA release of the C/C++ driver for Apache Cassandra. This release includes all the features necessary to take full advantage of Apache Cassandra 2.2 including support for new data types (‘tinyint’, ‘smallint’, ‘time’, and ‘date’) and support for user defined function/aggregate (UDF/UDA) schema metadata.

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