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DBMS > Spark SQL vs. Trino

System Properties Comparison Spark SQL vs. Trino

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational 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
Score20.07
Rank#35  Overall
#21  Relational DBMS
Score6.43
Rank#69  Overall
#38  Relational DBMS
Websitespark.apache.org/­sqltrino.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterGitHubYouTube
DeveloperApache Software FoundationTrino Software Foundation
Initial release20142012 info2020 rebranded from PrestoSQL
Current release3.4.0 ( 2.13), April 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
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 languageScalaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesyes
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.nono
Secondary indexesnodepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesJava
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Coredepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending 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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoSQL standard access control
More information provided by the system vendor
Spark SQLTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics28250+ commits in GitHub 5750+ stargazers in GitHub 6950+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

Trino Fest nears with an all-star lineup
1 June 2023

48: What is Trino?
31 May 2023

Trino at Open Source Summit North America 2023
15 May 2023

47: Meet the new Trino maintainers
5 May 2023

Refreshing at the lakehouse summer camp
3 May 2023

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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
Spark SQLTrino
Recent citations in the news

Spark SQL Explained with Examples
22 February 2023, sparkbyexamples.com

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2023
22 May 2023, Simplilearn

Spark SQL Inner Join Explained
1 January 2023, sparkbyexamples.com

Spark SQL “case when” and “when otherwise”
7 February 2023, sparkbyexamples.com

Spark SQL – Get Last Day of a Month
7 February 2023, sparkbyexamples.com

provided by Google News

Starburst accelerates Trino to 'Warp Speed' to accelerate data ...
8 February 2023, VentureBeat

Trino and dbt open source data tools snuggle closer with integrated SaaS
28 April 2023, The Register

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

Iceberg + Spark + Trino: a modern open source data stack for blockchain
25 December 2022, CryptoSlate

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

provided by Google News

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