MapR Redefines SQL-on-Hadoop with Apache Drill

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mrby 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 the addition of Apache Drill 0.5 to the MapR Distribution including Hadoop. Bringing next-generation ANSI SQL to Hadoop, Apache Drill provides instant, self-service data exploration across multiple data sources including modern applications.”

Matt Aslett, research director, data platforms and analytics, 451 Research noted, “Organizations want to provide access to data stored in Hadoop and NoSQL databases to a broader set of users with existing SQL analysis skills… Apache Drill’s ability to provide access to data in Hadoop without the need for centralized schemas and also to NoSQL datasets with complex data structures including nested and repeated fields differentiates it from traditional approaches to SQL-on-Hadoop.”

The article adds, “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.”

Read more here.

photo credit: MapR

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