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Wednesday, 15 October 2014 11:22

MapR announces Apache Drill and Apache Spark integration

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Top-ranked Apache Hadoop distribution MapR today announced a new initiative to integrate Apache Drill, which provides instant, self-service data exploration across multiple data sources, with Apache Spark, the in-memory processing framework that provides speed, programming ease and real-time processing advantages.

"The MapR initiative to integrate Apache Drill with Apache Spark’s high-performance, in-memory data processing will provide a powerful combination," said John Webster, senior partner and analyst, Evaluator Group.

“MapR support for the complete Spark stack provides Drill users the ability to create advanced data pipelines that leverage Drill’s data agility and Spark’s batch processing capabilities."

"As the driving force behind Spark, Databricks is pleased to see continued and expanded innovation around Spark to help users derive value from big data faster," said Ion Stoica, CEO of Databricks.

 

"We are looking forward to MapR integrating Drill with Spark to enable enterprises to expand processing options and unlock deeper insights from their data faster.”

MapR is a San Jose-based enterprise software company and as we reported back in July it recently closed a $110 million financing round led by Google.

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