Hadoop is a famously difficult batch-processing tool to utilize without a user-friendly front end, which is what Cloudera provides. But to be able to add a relational database into the mix, another integrator is necessary; in this case, it is Hadapt.
Hadapt, whose data analytics framework natively integrates Apache Hadoop with any relational database, joined forces May 10 with Hadoop interface provider Cloudera to produce an advanced big data-type tool for enterprises.
Hadoop is a famously difficult batch-processing tool to utilize without a user-friendly front end, which is what Cloudera and several other companies now provide. But to be able to add a relational database into the mix, another integrator is necessary; in this case, it is Cambridge, Mass.-based Hadapt.
The combination of Hadapt's Adaptive Analytical Platform with Cloudera Manager and Cloudera's Distribution Including Apache Hadoop (CDH) enables IT shops to reliably store, process and analyze big data on Hadoop, Hadapt CEO Justin Borgman said.
"Organizations are looking to capitalize on the big data phenomenon and make business decisions via 'multi-structured' data analysis," Borgman said. "Hadapt runs on top of the Hadoop market leader, Cloudera, to provide an integrated analytical offering that delivers greater insights."
Hadapt connects relational tables to Hadoop Distributed File System (HDFS) files and uses a customized data loader to move data between the two. Another feature is that it enables SQL queries to be used in situations where they move faster than slower, batch-mode MapReduce workloads. Speed in any part of this process is a high-value commodity.
Hadapt also has a query optimizer that can decide on the fly which is faster: MapReduce or Hadoop processing.