MapR Announces Initiative for Integration between Apache Drill and Apache Spark

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MapR Logo - New 2014by Angela Guess

According to a new article out of the company, “MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced an 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,’ commented 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’.”

The article goes on, “Apache Drill provides the flexibility to immediately query complex data in native formats, such as schema-less data, nested data, and data with rapidly-evolving schemas, with minimal IT involvement.  Because SQL queries can run directly on various file formats, live data can be explored as it is coming in, versus spending weeks preparing and managing schemas and setting up ETL tasks.   Additionally, Apache Drill supports ANSI SQL so users can easily leverage their SQL skills and existing investments in business intelligence (BI) tools.”

Read more here.

photo credit: MapR

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