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DBMS > H2 vs. Prometheus vs. Trino vs. XTDB

System Properties Comparison H2 vs. Prometheus vs. Trino vs. XTDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonPrometheus  Xexclude from comparisonTrino  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open-source Time Series DBMS and monitoring systemFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSDocument 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
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score5.10
Rank#70  Overall
#38  Relational DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitewww.h2database.comprometheus.iotrino.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.h2database.com/­html/­main.htmlprometheus.io/­docstrino.io/­broadcast
trino.io/­docs/­current
www.xtdb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperThomas MuellerTrino Software FoundationJuxt Ltd.
Initial release200520152012 info2020 rebranded from PrestoSQL2019
Current release2.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMIT License
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 languageJavaGoJavaClojure
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS infofor devlopment
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes, extensible-data-notation format
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 infoImport of XML data possiblenono
Secondary indexesyesnodepending on connected data-sourceyes
SQL infoSupport of SQLyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
Trino CLI
HTTP REST
JDBC
Supported programming languagesJava.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Clojure
Java
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsnoyes, depending on connected data-sourceno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoby Federationdepending on connected data-sourceyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynonedepending on connected data-source
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSQL standard access control
More information provided by the system vendor
H2PrometheusTrinoXTDB infoformerly named Crux
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
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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
H2PrometheusTrinoXTDB infoformerly named Crux
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