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DBMS > Trino

Trino System Properties

Please select another system to compare it with Trino.

Our visitors often compare Trino with Spark SQL, DuckDB and ClickHouse.

Editorial information provided by DB-Engines
NameTrino
DescriptionFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational 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
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitetrino.io
Technical documentationtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTrino Software Foundation
Initial release2012 info2020 rebranded from PrestoSQL
License infoCommercial or Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJava
Server operating systemsLinux
macOS infofor devlopment
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesdepending on connected data-source
SQL infoSupport of SQLyes
APIs and other access methodsJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes, depending on connected data-source
Triggersno
Partitioning methods infoMethods for storing different data on different nodesdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on connected data-source
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datadepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentdepending on connected data-source
User concepts infoAccess controlSQL standard access control
More information provided by the system vendor
Trino
Specific characteristics

Trino is the fastest open source, massively parallel processing SQL query engine designed for analytics of large datasets distributed over one or more data sources in object storage, databases and other systems. Characteristics include:

  • Highly performant for OLAP use cases at massive scale, suitable to query terabytes of data
  • Rich support for standard ANSI SQL queries for all connected data sources (SQL language, SQL statement syntax, Functions and operators)
  • Numerous connectors to enable querying disparate data sources, including object storage data lakes with Hive, Iceberg, or Delta Lake, RDBMS systems such PostgreSQL, MySQL, other systems such as Elasticsearch, MongoDB, Kafka, Clickhouse, Pinot, and many more
  • Deployment options include baremetal, virtual machine, and container-based systems
Competitive advantages
  • High performance analtyics and data processing of very large data sets
  • Powerful ANSI SQL support
  • Support for querying any connected data source within the same query
  • Rich ecosystem of integrations and tools to use
Typical application scenarios
  • Performant analytics query engine for data warehouses, data lakes, and data lakehouses
  • Central access point for reporting, dashboarding, and analytics of all connected sources
  • Embedded query engine in data platform for analytics and data processing workloads
Key customers

Trino is widely adopted across the globe as freely-available open source software. Users include well-known companies such as Amazon, LinkedIn, Lyft, Netflix, Pinterest, Shopify, Stripe and many others. See the user testimonials for more details.

The commercial distributions Starburst Enterprise and Starburst Galaxy are used by customers such as Comcast.  Verizon, FINRA, DBS Bank, Lucid, Zalando, and many others.

Trino is the embedded engine in many services including AWS Athena, and others.

Market metrics
Licensing and pricing models

Trino is an open source project and usage is therefore free.

Commercial offerings from Starburst include Starburst Enterprise for self-managed deployments, and the managed software-as-service Starburst Galaxy.

Free trial versions are available for both products. Detailed pricing for commercial usage depends on deployment size and includes metrics like vCPU usage and other details.

News

60: Trino calling AI
22 May 2024

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Trino
Recent citations in the news

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

Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
4 October 2023, AWS Blog

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

Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

provided by Google News



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