Two major trends have emerged in the Big Data channel in recent months: First, NoSQL is becoming an increasingly popular database choice, and second, commitment to security is finally catching up with the drive to build Big Data infrastructures as quickly as possible.
Cassandra is a major wide column store NoSQL database. It’s popular in standalone form, and can be used with Hadoop to perform MapReduce analyses on Cassandra column families (tables).
DataStax, the company that was founded to take the Cassandra NoSQL data store created by Facebook commercial and therefore usable by mere enterprise data centers, is keeping to its cadence and is rolling up a new release of its DataStax Enterprise Edition.
There is no doubt that Big Data has exploded over the last 12 months.
So I asked Mike: “What do you look for in a company before you make an investment?” His response was certainly interesting.
Apache Cassandra is an open-source, column-group style NoSQL database that was developed by Facebook and inspired by Amazon’s Dynamo database.
By Constant Contact’s estimates, the relational route would have required a $2.5 million investment and nine months of development.
To accommodate eBay’s explosive data growth— its data centers perform hundreds of millions of reads and writes each day—and the increasing demand to process data at blistering speeds, eBay needed a solution that did not have the typical bottlenecks, scalability issues and transactional constraints associated with common relational database approaches.