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DBMS > Apache Drill vs. Databricks vs. Trino

System Properties Comparison Apache Drill vs. Databricks vs. Trino

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatabricks  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#122  Overall
#22  Document stores
#58  Relational DBMS
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score5.34
Rank#60  Overall
#34  Relational DBMS
Websitedrill.apache.orgwww.databricks.comtrino.io
Technical documentationdrill.apache.org/­docsdocs.databricks.comtrino.io/­broadcast
trino.io/­docs/­current
DeveloperApache Software FoundationDatabricksTrino Software Foundation
Initial release201220132012 info2020 rebranded from PrestoSQL
Current release1.20.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS infofor devlopment
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantwith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourceSQL standard access control
More information provided by the system vendor
Apache DrillDatabricksTrino
News

73: Wrapping Trino packages with a bow
9 April 2025

Core Principles and Design Practices of OLAP Engines
27 March 2025

72: Keeping the lake clean
17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

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Apache DrillDatabricksTrino
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Recent citations in the news

Apache Drill vs. Apache Spark – Which SQL query engine is better for you?
23 September 2019, Towards Data Science

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, theserverside.com

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

MapR Bolsters Hadoop Distro with Apache Drill for SQL-Based Big Data Analytics
22 May 2015, Visual Studio Magazine

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Databricks is buying database startup Neon for about $1 billion
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Databricks more than quadruples footprint in Seattle's West8
14 May 2025, The Business Journals

Databricks Agrees to Acquire Neon to Deliver Serverless Postgres for Developers + AI Agents
14 May 2025, PR Newswire

MessageGears partners with Databricks to power native data activation in enterprise marketing campaigns
15 May 2025, Business Wire

Databricks Chooses Google Cloud, AWS Vet to Lead Global Channel
15 May 2025, Channel Futures

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How to Deploy MinIO and Trino with Kubernetes
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The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost
4 October 2023, Amazon Web Services

Trino turns 10: Starburst celebrates a decade of its open source query engine
11 August 2022, VentureBeat

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