October 2012 | Hadapt

The Importance of Interactive SQL on Hadoop

Posted on October 17, 2012 at 11:03 pm.

Written by Daniel Abadi

As most readers of this blog are already aware, today we announced Hadapt 2.0 that includes several major upgrades to our software, including “interactive” SQL on Hadoop and a new Hadapt Development Kit (HDK) that greatly expands the variety and … Continued

Hadapt Accelerates Hadoop’s Move to Production with Interactive Applications

Posted on October 16, 2012 at 11:02 pm.

Written by admin

Cambridge, MA, October 16, 2012 – Hadapt, the only data analytics platform natively integrating SQL with Apache Hadoop, today announced version 2.0 of its Adaptive Analytical Platform. The new release features the industry’s first interactive applications on Hadoop, via Hadapt Interactive Query; … Continued

Recent Hadapt Blog Posts

Classifying Today’s “Big Data Innovators” Friday, December 21, 2012 at 9:57 am | Daniel Abadi

Uncategorized (7)

Dhiraj ShettyCould this product play a role in bringing medical big data analysis to mobiles/handhelds, without comprising on HIPAA guidelines. Regards, Dhiraj.Keith PrinceOh dear, MPP and Hadoop comparisons based around the premise that "There is absolutely no technical reason why there needs to be two separate systems doing the exact same type of parallel processing". I'd 100% agree that there are some folks who are replicating the same type of workload on two platforms. The early adopter/leaders understand that MPP systems don't do parallel operations in the same way as Hadoop. That's why you'll see Google, Yahoo, Amazon, etc, use Hadoop architectures for certain types of operations and MPP systems (mainly appliances today) for other types. Each architecture is optimized for a different type of workload. And there are some relational databases that do poly-structured really well so it should not be a structured vs unstructured debate too. Yes you can race a rally car at a F1 meeting, it will go around the track pretty rapidly and look great but it won't compete. I nearly said its a horses for courses thing but then I'd be disappearing up my own metaphor :). Apart from the fundamental point that parallel architectures are not the same, I think more articles like yours should fuel a more honest appraisal of how things really work. Then again the in-memory folks will come along and say Hadoop and MPP are both yesterdays news!Roberto V. ZicariTwo comments: - I wonder how in-memory databases for analytics such a SAP HANA fits into your classification - I`d suggest to include MPP database vendors in the classification as well (e.g. Teradata, Vertica) to make it complete.