Hadoop updates from Cloudera, MapR, Splunk

Cloudera is working on a new database engine, whil MapR improves HBase reliability

By , IDG News Service |  Big Data, Analytics, Cloudera

The database comes with a number of other new features as well. The new database does not compact, or compress data, which should allow the database to perform more consistently. The company claims that inserts and updates occur much more quickly. The database now supports in-memory columns. The row and cell sizes have been increased to accommodate larger objects as well, up to 1GB in size. And in this version of HBase, users can create more than a trillion tables.

MapR's M7 version of HBase is fully binary compatible with Apache HBase, and can run Apache HBase within the cluster with M7's own version of the data store software.

The beta version of M7 is now available to select users. It will eventually replace the company's M5 distribution.

A number of other companies have also released new products in conjunction with the Hadoop conference. Machine search software vendor Splunk has released Splunk Hadoop Connect, which facilitates the passing of data between Splunk and Hadoop. The company also released a Splunk monitoring module for Hadoop, called The Splunk App for HadoopOps. VMware announced an updated version of its Project Serengeti, which is software for running Hadoop in virtualized environments.

Joab Jackson covers enterprise software and general technology breaking news for The IDG News Service. Follow Joab on Twitter at @Joab_Jackson. Joab's e-mail address is Joab_Jackson@idg.com

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