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DBMS > PostGIS vs. Trino vs. Vitess

System Properties Comparison PostGIS vs. Trino vs. Vitess

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonTrino  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitepostgis.nettrino.iovitess.io
Technical documentationpostgis.net/­documentationtrino.io/­broadcast
trino.io/­docs/­current
vitess.io/­docs
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTrino Software FoundationThe Linux Foundation, PlanetScale
Initial release20052012 info2020 rebranded from PrestoSQL2013
Current release3.4.2, February 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
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 languageCJavaGo
Server operating systemsLinux
macOS infofor devlopment
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesdepending on connected data-sourceyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensions
APIs and other access methodsJDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, depending on connected data-sourceyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLdepending on connected data-sourceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-sourceEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDdepending on connected data-sourceACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infobased on PostgreSQLSQL standard access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
PostGISTrinoVitess
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 metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

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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

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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
PostGISTrinoVitess
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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Starburst Brings Dataframes Into Trino Platform
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Speed Trino Queries with These Performance-Tuning Tips
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Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
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A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

PlanetScale Serves up Vitess-Powered Serverless MySQL
23 November 2021, The New Stack

provided by Google News



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