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DBMS > H2 vs. Kinetica vs. Postgres-XL vs. Prometheus vs. XTDB

System Properties Comparison H2 vs. Kinetica vs. Postgres-XL vs. Prometheus vs. XTDB

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonKinetica  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  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.Fully vectorized database across both GPUs and CPUsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.h2database.comwww.kinetica.comwww.postgres-xl.orgprometheus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.kinetica.comwww.postgres-xl.org/­documentationprometheus.io/­docswww.xtdb.com/­docs
DeveloperThomas MuellerKineticaJuxt Ltd.
Initial release200520122014 infosince 2012, originally named StormDB20152019
Current release2.2.220, July 20237.1, August 202110 R1, October 20181.19, September 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++CGoClojure
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes, 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.nonoyes infoXML type, but no XML query functionalityno infoImport of XML data possibleno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infodistributed, parallel query executionnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIHTTP REST
JDBC
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsuser defined functionsuser defined functionsnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationyes infoby Federationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.yesyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
H2KineticaPostgres-XLPrometheusXTDB infoformerly named Crux
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