Today, Radoop had a major step forward with its 0.3 release. The new version of the visual big data analytics package adds full support for all major Hadoop distributions used these days: Apache Hadoop 0.20.2, 0.20.203, 1.0 and Cloudera’s Distribution including Apache Hadoop 3 (CDH3). It also adds support for large clusters by allowing the namenode, the jobtracker and the Hive server to reside on different nodes.

As Radoop’s promise is to make big data analytics easier, the 0.3 release is also focused on improving the user interface. It has an enhanced breakpointing system which allows to investigate intermediate results, and it adds dozens of quick fixes, so common process design mistakes get much easier to solve.

There are many further improvements and fixes, so please consult the release notes for more details. Radoop is in private beta mode, but heading towards a public release in Q2 2012. If you would like to get early access, then please apply at the signup page or describe your use case in email (beta at radoop.eu).

Radoop 0.3 (15 February 2012)

• Support for Apache Hadoop 0.20.2, 0.20.203, 1.0 and Cloudera’s Distribution Including Apache Hadoop 3 (CDH3) in a single release
• Support for clusters with separate master nodes (namenode, jobtracker, Hive server)
• Enhanced breakpointing to evaluate intermediate results
• Dozens of quick fixes for the most common process design errors
• Improved process design and error reporting
• New welcome perspective to help in the first steps
• Many bugfixes and performance improvements

Radoop 0.2.2 (6 December 2011)

• More Aggregate functions and distinct option
• Generate ID operator for convenience
• Numerous bug fixes and improvements
• Improved user interface

Radoop 0.2.1 (16 September 2011)

• Set Role and Data Multiplier operators
• Management panel for testing Hadoop connections
• Stability improvements for Hive access
• Further small bugfixes and improvements

Radoop 0.2 (26 July 2011)

• Three new algoritms: Fuzzy K-Means, Canopy, and Dirichlet clustering
• Three new data preprocessing operators: Normalize, Replace, and Replace Missing Values
• Significant speed improvements in data transmission and interactive analytics
• Increased stability and speedup for K-Means
• More flexible settings for Join operations
• More meaningful error messages
• Other small bugfixes and improvements

Radoop 0.1 (14 June 2011)

Initial release with 26 operators for data transmission, data preprocessing, and one clustering algorithm.

Note that Rapid Miner also has a great R extension so you can use R, a graphical interface and big data analytics is now easier and more powerful than ever.