DataStax is both an open source and commercial software company. The enterprise market that DataStax serves commercially overlaps with, but is distinct from, the open source Cassandra community, and the way we develop and release software reflects that difference.
One of the change made in Apache Cassandra 3.0 is a relatively important refactor of the storage engine. I say refactor because the basics have not changed: data is still inserted in a memtable which get flushed over time to a sstable with compaction baby-sitting the set of sstables on disk, and reads uses both memtable and sstables to retrieve results.
Oracle’s recent fiscal Q4 miss, which boiled down to an eight percent license revenue shortfall was, “the largest we’ve seen in memory and is surprising,” said Citigroup’s Walter Pritchard.
About a month ago, End Point published a NoSQL database benchmark between Cassandra, MongoDB, HBase, and Couchbase. As we reviewed the configuration details, we discovered two errors had been made in configuring Cassandra and HBase.
If you’ve been paying attention to recent press announcements , you’ve no doubt seen a flurry of benchmark press releases from various NoSQL companies.
One of the great things about open source software is also one of its shortcomings. On the one hand, no development or distribution model ensures faster time to market and ‘reach’ for software than open source.
Gartner Inc., the world’s leading information technology research and advisory company recently named DataStax a Visionary in its 2014 Magic Quadrant for Operational Database Management Systems, which is considered to be the definitive source for competitive database comparisons in the industry.