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DBMS > Citus vs. Prometheus vs. Trino vs. Warp 10

System Properties Comparison Citus vs. Prometheus vs. Trino vs. Warp 10

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonPrometheus  Xexclude from comparisonTrino  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOpen-source Time Series DBMS and monitoring systemFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument 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
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.citusdata.comprometheus.iotrino.iowww.warp10.io
Technical documentationdocs.citusdata.comprometheus.io/­docstrino.io/­broadcast
trino.io/­docs/­current
www.warp10.io/­content/­02_Getting_started
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTrino Software FoundationSenX
Initial release201020152012 info2020 rebranded from PrestoSQL2015
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageCGoJavaJava
Server operating systemsLinuxLinux
Windows
Linux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.yes infospecific XML type available, but no XML query functionalityno infoImport of XML data possiblenono
Secondary indexesyesnodepending on connected data-sourceno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
Trino CLI
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, depending on connected data-sourceyes infoWarpScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdepending on connected data-sourceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoby Federationdepending on connected data-sourceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynonedepending on connected data-sourceImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSQL standard access controlMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
CitusPrometheusTrinoWarp 10
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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6 June 2024

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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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CitusPrometheusTrinoWarp 10
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