Drill is a database system designed for Big Data exploration. It is an open-source, distributed SQL query system based on Google's Dremel query system, and it features a columnar execution engine. Drill is the only distributed SQL engine in the world that does not require schemas. It was designed from the ground up, and it supports many NoSQL databases and file systems, with the ability for a single query to join data from multiple types of datastores, like MongoDB or HBase for instance.
In 2010, Google published a paper titled "Dremel: Interactive Analysis of Web-Scale Datasets" that described a scalable database system designed for "interactive analysis of nested data". The Dremel system is available today under Google's BigQuery system. Development of Apache Drill began in 2012, with the goal of replicating the capabilities of Dremel. Initial goals of the system included support for multiple storage systems, file formats, query languages, and data sources, as well as the ability to scale over 10,000 servers and process petabytes of data in seconds.
Drill supports Optimistic Concurrency Control. It plans queries in fragments, assuming that all of the fragments can be completed in parallel. Larger fragments are broken into smaller fragments, which are run in clusters until the whole fragment is complete.
Drill features a JSON self-describing data model that supports language independence and loosely defined, weak data typing. This data model uses on-the-fly schema discovery, also known as late binding, to begin the execution of queries without having to know the structure of the data. Through this data model, Drill can handle data with evolving schemas or even no schemas at all.
Drill's internal data representation is columnar and hierarchical, which allows for efficient SQL processing without the need to flatten data into rows. The data model supports queries on complex/nested data as well as evolving data structures.