MapR Advances Support for Flexible Analytics on JSON and S3 Data with Apache Drill

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According to a new press release, “MapR® Technologies, Inc., provider of the industry’s next generation data platform for AI and Analytics, today announced the support of Apache Drill 1.15. The new release offers new enhancements to conduct powerful queries on highly complex nested data structures; including files, MapR JSON database tables and cloud data sources specifically for S3. ‘The latest Drill release is aimed at further improving intuitive access to different data types across on-premises and cloud data sources as well as enhancing performance and usability,’ said Neeraja Rentachintala, vice president of product management, MapR. ‘We evolved Drill by closely listening to our customers, and it is exciting to see our customers achieve true self service data exploration without compromising on analytic flexibility and performance’.”

The release continues, “Drill 1.15 expands on ANSI SQL compliance and query performance improvements both for Parquet and MapR-DB JSON tables. With the new release it is easier to deploy Drill in multi-tenant environments co-existing with other analytic frameworks such as Hive and Spark, while achieving predictable SLAs, to successfully conduct interactive analytics at any scale. With today’s release, Drill 1.15 introduces the following features: (1) S3 Plug-In Support. Customers can now access data in S3 through Drill and join them with other supported data sources like Parquet, Hive and JSON all through a single query… (2) Expanded Spill to Disk Capability. Spill to disk for memory intensive queries has been expanded to include all SQL operations that rely on memory like GROUP BY, JOIN, ORDER BY, DISTINCT. Memory controls can now be put in place so that large memory intensive queries that pass a defined threshold spill to disk.”

Read more at Business Wire.

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