Apache Drill edit 
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 Names Drill Vendors The Apache Software Foundation Type Commerical Open Source Last Updated May 2019 - v1.16 Related Technologies
Is packaged by MapR Expansion Pack Release History
version release date release links release comment 1.11 2017-07-31 announcement MapR blog 1.12 2017-12-15 announcement; MapR blog Kafka and OpenTSDB support 1.13 2018-03-18 announcement; MapR blog Drill-on-YARN; Drill on MapR Event Streams alpha 1.14 2018-08-05 announcement Docker support 1.15 2018-12-31 announcement; MapR blog 1.16 2019-05-02 announcement Links
News
Blog Posts