UPDATED 15:34 EDT / MARCH 23 2011

Today’s Big Data News: EMC, Hadapt and TukoDB

We’ve had quite a bit of big data updates crossing the wire today, stretching all the way from EMC to Hadoop.  Today, EMC announced that the University at Buffalo has deployed EMC Isilon scale-out NAS for its Center for Computational Research, which supports hundreds of researchers. The Center provides cluster computing solutions for the entire University, including computing, network and storage resources, and now it has entered the cloud. The Center is now consolidated its high-performance applications using the Isilon’s X-Series running on the OneFS cloud storage OS.

Some more details:

“With Isilon’s SmartQuotas® application, the Center can seamlessly provision its Isilon cluster among various research groups and projects, improving data access and resource utilization to drive increased operating efficiency.”

Moving on to Hadoop, or more accurately Hadapt – the start-up which came out of stealth at GigaOm’s Structure Big Data conference. Hadapt is aiming to combine the best features of advanced databases with the open source cloud management platform Hadoop to allow its customers to analyze both structured and unstructured datasets in near real-time.

In addition to EMC and Hadapt news, there’ve been additional interesting developments in the industry as well. Among these is announcement of TokuDB v5.0 for both MySQL and MariaDB by Tokutek at the Structure Data conference. The latest release of the database engine carries multiple additional features, including Hot Indexing and Hot Column Addition/Deletion as well full MVCC support. The engine reportedly enables near real-time analysis of data, significantly reporting operating times, according to a release.

TokuDB also offers Fractal Tree index performance scalability, which includes 20 times faster insertion rates with up speeds of up to 80x seen by customers. The offering also accelerates queries, removes query slow-down and harnesses parallelized new table and index loading at a minimum of 1 million loads/second.


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