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An MPP query engine that supports queries over one or more underlying databases or datasets without first defining a schema and with the ability to join data from multiple datastores together. Supports a range of underlying technologies including HDFS, NAS, HBase, MongoDB, MapR-DB, MapR-FS, Kafka, OpenTSDB, Amazon S3, Azure Blob Storage, Google Cloud Storage, JDBC, Avro, JSON and Parquet. Pushes queries down to underlying datastores where possible, and supports an in-memory columnar datastore based on a schema free JSON document model for performing cross datastore query operations. Supports dynamic schema discovery, with support for complex and nested types, including a number of SQL extensions. Supports standard SQL, UDFs (including Hive UDFs) and comes with JDBC and ODBC drivers, a REST API, plus a shell, web console and C++ API. Designed to be horizontally scalable and to support high throughput and low latency use cases, and can run over YARN. Supports Kerberos and username/password authentication, plus a full authorisation model. Created by MapR Based on Google's Dremel paper, donated to the Apache Foundation in September 2012, graduating in November 2014, with a 1.0 release in May 2015, and is still under active development

Technology Information

Other NamesDrill
VendorsThe Apache Software Foundation
TypeCommerical Open Source
Last UpdatedMay 2019 - v1.16

Related Technologies

Is packaged byMapR Expansion Pack

Release History

versionrelease daterelease linksrelease comment
1.112017-07-31announcement MapR blog 
1.122017-12-15announcement; MapR blogKafka and OpenTSDB support
1.132018-03-18announcement; MapR blogDrill-on-YARN; Drill on MapR Event Streams alpha
1.142018-08-05announcementDocker support
1.152018-12-31announcement; MapR blog 
1.162019-05-02announcement 

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