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DBMS > Amazon Redshift vs. Databricks vs. Trino

System Properties Comparison Amazon Redshift vs. Databricks vs. Trino

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsThe 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 modelRelational DBMSDocument 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
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score99.29
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score5.18
Rank#60  Overall
#34  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.databricks.comtrino.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comtrino.io/­broadcast
trino.io/­docs/­current
DeveloperAmazon (based on PostgreSQL)DatabricksTrino Software Foundation
Initial release201220132012 info2020 rebranded from PrestoSQL
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedhostedLinux
macOS infofor devlopment
Data schemeyesFlexible 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 indexesrestrictedyesdepending on connected data-source
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardwith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser 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 nodesyesyesdepending 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 integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
Amazon RedshiftDatabricksTrino
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
Amazon RedshiftDatabricksTrino
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Recent citations in the news

Integrate ThoughtSpot with Amazon Redshift using AWS IAM Identity Center
10 April 2025, Amazon Web Services (AWS)

Amazon Redshift enhances security by changing default behavior in 2025
30 January 2025, Amazon Web Services (AWS)

Recap of Amazon Redshift key product announcements in 2024
17 December 2024, Amazon Web Services (AWS)

Enhance Agentforce data security with Private Connect for Salesforce Data Cloud and Amazon Redshift – Part 3
7 April 2025, Amazon Web Services (AWS)

Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center
6 March 2025, Amazon Web Services (AWS)

provided by Google News

Databricks to boost hiring, invest $250 million in India for AI expansion
24 April 2025, Reuters

Databricks Just Dropped $250M in India--Here's Why It Could Redefine the Global AI Race
24 April 2025, Yahoo Finance

Databricks to Hire Hundreds in India to Accelerate AI Boom
24 April 2025, Bloomberg.com

Databricks to Invest $250 Million in India to Boost AI Talent and R&D
24 April 2025, outlookbusiness.com

BigQuery is 5x bigger than Snowflake and Databricks: What Google is doing to make it even better
17 April 2025, VentureBeat

provided by Google News

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

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

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

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

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