Aeris Communications uses Apache Cassandra to manage IoT at scale.
2015 has been an exciting year for the DataStax Academy team and all of our users. While you’ve all been busy learning about Apache Cassandra™ and DataStax Enterprise through our self-paced online training, we’ve been busy working on a complete revamp of the DataStax Academy educational platform.
This month Gartner published a new report entitled, “Assessment of DataStax Enterprise With Cassandra” that performed an assessment of DataStax Enterprise (DSE) against “must-have” criteria for tabular NoSQL databases (such as advanced security features and built-in analytics).
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.