What is Apache Drill?
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.
Apache Drill is a tool in the Database Tools category of a tech stack.
Who uses Apache Drill?
3 companies reportedly use Apache Drill in their tech stacks, including Compile Inc, Alpha Vertex, and Clarisights.
25 developers on StackShare have stated that they use Apache Drill.
Why developers like Apache Drill?
Here’s a list of reasons why companies and developers use Apache Drill
Apache Drill's Features
- Low-latency SQL queries
- Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.
- ANSI SQL
- Nested data support
- Integration with Apache Hive (queries on Hive tables and views, support for all Hive file formats and Hive UDFs)
- BI/SQL tool integration using standard JDBC/ODBC drivers
Apache Drill Alternatives & Comparisons
What are some alternatives to Apache Drill?
See all alternatives
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
Open PostgreSQL Monitoring
Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.