Hadapt Accelerates Hadoop’s Move to Production with Interactive Applications

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; the Hadapt Development KitTM (HDK) for custom analytics; and integration with Tableau Software.

“There is significant demand in the market to leverage Hadoop for Big Data analytics,” said Merv Adrian, Research VP at Gartner. “Two key enablers must be addressed for the business analyst community: 1) interactive query capabilities coupled with continuous data ingestion, and 2) advanced analytics packaged as SQL functions that can be natively integrated with existing BI tools.”

Hadapt resolves both issues, accelerating the production deployment of Hadoop in the enterprise. Hadapt 2.0 empowers analysts to conduct investigative analytics on all of their data (structured, unstructured or semi-structured) in a single, unified platform, using standard business intelligence tools like Tableau. The new release also includes the HDK, allowing analysts to create advanced SQL analytic functions that can be used for campaign analysis, full text search, funnel analysis, sentiment analysis, pattern matching and predictive modeling.

“The integration of Tableau with Hadapt’s Interactive Query capabilities delivers access to advanced analytics on Hadoop via SQL at petabyte scale,” said Daniel Jewett, VP of Product Management at Tableau. “The combination of our products allows business analysts to bridge the gap to the full Hadoop analytic ecosystem.”

“The idea of interactive applications on Hadoop was one of the founding ideas behind the company, and today we’re making it a reality,” said Hadapt CEO Justin Borgman. “For a long time, there’s been this incredibly powerful tool, Hadoop, that was limited to the technically-savvy community. Now, it’s here for the masses: interactive, massive-scale data processing—on any type of data—using commodity hardware and a familiar SQL interface.”

Hadapt has been selected as a Startup Showcase finalist at the O’Reilly Strata Conference and Hadoop World in New York City October 23rd-25th, where it will demonstrate the new release. Availability of Hadapt 2.0 is planned for early Q1 2013. For more information, visit www.hadapt.com.

About Hadapt
Hadapt has developed the industry’s only Big Data analytic platform natively integrating SQL with Apache Hadoop. The unification of these traditionally segregated platforms enables customers to analyze all of their data (structured, semi-structured and unstructured) in a single platform—no connectors, complexities or rigid structure. The company is headquartered in Cambridge, MA.

Media Contact
Larry Bouchie
larry.bouchie@hadapt.com
(781) 620-0278

One Response to “Hadapt Accelerates Hadoop’s Move to Production with Interactive Applications”

  1. Manisha Arora

    How flexible is your interactive query language? I am assuming that you have a certain algorithm you are using to calculate result set like social buzz on certain data set(structured and unstructured), packing it and exposing it as a variable through the BI UI layers. But, when your platform is deployed within an enterprise and is sitting on top of both legacy structured data from ERP systems and unstructured data(social, documents), the business analysts may want to create various variables to show in their UI reports like “Satisfaction index” on suppliers(which will require searching social data for mentions of supplier, sentiment associated with those mentions) and also structured data like service calls generated in customer support support system.
    How easy is it for the business analysts to create a definition/formula for calculation of satisfaction index and then have hadapt interpret it? It will be great if you guys have an interface where you expose the structured data elements and also packaged calculations on the unstructured data elements and allow the user to build their own queries which combines both of these.

    Reply

Leave a Comment