DBMS > Trino

Trino System Properties

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Editorial information provided by DB-Engines

Name

Description

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primary database model

Relational DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	5.00
Rank	#66	Overall
	#36	Relational DBMS

Website

trino.io

Technical documentation

trino.io/broadcast
trino.io/docs/current

Social network pages

Developer

Trino Software Foundation

Initial release

2012

2020 rebranded from PrestoSQL

License

Commercial or Open Source

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database 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 language

Java

Server operating systems

Linux
macOS

for devlopment

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

depending on connected data-source

SQL

Support of SQL

yes

APIs and other access methods

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

yes, depending on connected data-source

Triggers

Partitioning methods

Methods for storing different data on different nodes

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

depending on connected data-source

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

depending on connected data-source

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

depending on connected data-source

User concepts

Access control

SQL standard access control

More information provided by the system vendor

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

33000+ commits in GitHub
8200+ stargazers in GitHub
1200+ pull requests merged in GitHub
4000+ issues created in GitHub
4600+ followers on Twitter
10000+ members in Slack
650+ average weekly members in Slack
1700+ subscribers in YouTube
50 Trino Community Broadcast episodes

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

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

58: Understanding your users with Trino and Mitzu
4 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

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

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

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

provided by Google News

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