Demand for NoSQL database technologies is growing as companies are adapting to open-source, seeking an alternative to SQL that can handle the massive amounts of data they need to analyze.
NoSQL databases promise to solve some of the most pressing problems with traditional database management systems, but so far they’ve been used sparsely by companies willing to pay for the software.
DataStax has raised $11 million to expand its software and services that help companies deal with massive amounts of web data threatening to overwhelm their systems.
Cassandra – which lies at the core of the new DataStax Enterprise project – is based on three and only three very simple methods: insert, get, and delete.
The DataStax and Cassandra stories are somewhat confusing. Unfortunately, DataStax chose to clarify them in what has turned out to be a crazy news week.
Many IT pros have heard of Apache Cassandra, but don’t know much about the project and haven’t had time to really find out more.
An interview by AppDynamics about Apache Cassandra
InternetNews.com yesterday published an article based on an interview with Red Hat CEO Jim Whitehurst asking the question “Is Red Hat Interested in the Database Market?” In truth there was no real need to ask the question, as Whitehurst’s comments made it pretty clear that Red Hat is interested in the database market, and specifically the NoSQL database market.
- Fighting Sepsis with Real-Time Analytics
- Out with the old… in with the new
- Why We Added In-Memory to Cassandra
- DataStax Enterprise 4.0 Gives in-Memory Option to Cassandra
- DataStax Brings In-Memory To NoSQL
- DataStax’s Cassandra Isn’t Just a NoSQL Database
- DataStax Adds In-Memory Option to Cassandra Database for 100x Speed-Up
- Apache Cassandra gets in-memory option with DataStax Enterprise 4.0
- DataStax adds in-memory option to Cassandra database
- DataStax Brings In-Memory Computing to NoSQL Cassandra