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DBMS > Databricks vs. DuckDB vs. Trino

System Properties Comparison Databricks vs. DuckDB vs. Trino

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDuckDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionThe 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.An embeddable, in-process, column-oriented SQL OLAP RDBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational 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
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score7.44
Rank#44  Overall
#27  Relational DBMS
Score5.34
Rank#60  Overall
#34  Relational DBMS
Websitewww.databricks.comduckdb.orgtrino.io
Technical documentationdocs.databricks.comduckdb.org/­docstrino.io/­broadcast
trino.io/­docs/­current
DeveloperDatabricksTrino Software Foundation
Initial release201320182012 info2020 rebranded from PrestoSQL
Current release1.0.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedserver-lessLinux
macOS infofor devlopment
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.yesnono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesPython
R
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoSQL standard access control
More information provided by the system vendor
DatabricksDuckDBTrino
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabricksDuckDBTrino
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Recent citations in the news

Fenwick Represents Neon in Pending Acquisition by Databricks
14 May 2025, fenwick.com

Databricks To Buy Serverless Postgres Company Neon
19 May 2025, Pulse 2.0

Databricks is buying database startup Neon for about $1 billion
14 May 2025, CNBC

The $1 Billion database bet: What Databricks’ Neon acquisition means for your AI strategy
15 May 2025, venturebeat.com

Exclusive | Databricks to Buy Startup Neon for $1 Billion
14 May 2025, WSJ

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Hands-On Exploratory Data Analysis with DuckDB
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Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services
18 March 2025, Amazon Web Services (AWS)

DuckDB project releases Local web UI, but not as open source
19 March 2025, devclass

Abusing DuckDB-WASM To Create Doom In SQL
23 April 2025, Hackaday

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A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

How to Deploy MinIO and Trino with Kubernetes
23 May 2024, HackerNoon

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

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

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