This was an exciting week at the Strata Big Data conference. Our CEO, John Schroeder delivered a short keynote, Ted Dunning presented on moving Beyond Hadoop and included a glimpse of real-time streaming with MapR and Storm integration. I also … Continue reading →

It has been an exciting time for us here at MapR with the unveiling of the Apache Drill project and the enormous amount of interest in the project. Many in the industry have commented to me about Drill being a … Continue reading →

I’m happy to announce that we just released the MapR Hive ODBC Driver. It is available to all MapR M3 and M5 users. The MapR Hive ODBC Driver is a standard ODBC 3.52 driver, allowing our users to leverage hundreds … Continue reading →

After joining MapR back in 2009, I spent many months meeting with early Hadoop users and listening to their pain points. In many of these meetings, users described problems related the HDFS architecture and the NameNode in particular. In this … Continue reading →

Today we announced version 1.2 of the MapR Distribution for Apache Hadoop.  With this release, MapR continues to push the envelope by making Hadoop more accessible to  more users, more languages, and more platforms. This release includes numerous features and … Continue reading →

MapReduce 2.0 is the codename for a new execution engine for Hadoop (developed primarily by Yahoo! engineers that are now at HortonWorks). MapReduce 2.0 is expected to become available in the next major release of Hadoop (0.23). The source code … Continue reading →