Uncategorized Archives

Classifying Today’s “Big Data Innovators”

Posted on December 21, 2012 at 9:57 am.

Written by Daniel Abadi

Last week, InformationWeek published a piece, authored by Doug Henschen, that listed 13 innovative Big Data vendors. The complete list is reproduced below: 1. MongoDB 2. Amazon (Redshift, EMR, DynamoDB) 3. Cloudera (CDH, Impala) 4. Couchbase 5. Datameer 6. Datastax … Continued

Hadapt Adds $6.75MM in Funding

Posted on November 12, 2012 at 10:08 am.

Written by Justin Borgman

As reported in the news on the 8th, Hadapt has added $6.75MM to the war chest. We’ll use the additional capital primarily to accelerate our go to market strategy and investment in the intellectual property that makes Hadapt so unique. … Continued

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

Invisible loading: A new paradigm for loading from unstructured to structured storage

Posted on September 5, 2012 at 11:00 pm.

Written by Daniel Abadi

In my last post on this blog, I outlined the flaws of the ubiquitous Hadoop-DBMS “connector” technology that unnecessarily links together two different systems that have an extremely similar architecture. In this post, I will discuss a new loading technology we … Continued

Recent Hadapt Blog Posts

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

Uncategorized (7)

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.Manisha AroraHow 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.