Today, our friends at Calxeda announced their product line – EnergyCore processors – at an event at the Stanford Faculty Club in Palo Alto.
One of the most popular parts of Cassandra SF 2011 was Matt Dennis’ Data Modeling Workshop (video).
If you think that installing Cassandra software is difficult and time-consuming, well, think again.
We pre-announced our product offerings last month at Strata in NY, and today we’re very excited to make these offerings public.
When I was first approached about coming to work at DataStax, I did what every person does who’s considering a move: do research on the products/market you’re considering putting your time and energies into.
RIM’s much publicized blackout a few weeks ago was clearly an awful event that every company hopes to avoid.
We’re pleased to announce that Cassandra 1.0 is now available! DataStax’s talented engineering staff along with other developers in the Cassandra community have worked hard to deliver not only a post-relational database platform that is ready for the enterprise where features and functionality are concerned, but also one that is dramatically easier to use than previous versions.
I’ve been thinking a lot about this question because it’s been asked to me about half a dozen times since Oracle announced their “big data appliance.” Answering it is not as easy as it seems.
- 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