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DBMS > Citus vs. EJDB vs. HyperSQL vs. InfluxDB vs. SQream DB

System Properties Comparison Citus vs. EJDB vs. HyperSQL vs. InfluxDB vs. SQream DB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEJDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDBMS for storing time series, events and metricsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitewww.citusdata.comgithub.com/­Softmotions/­ejdbhsqldb.orgwww.influxdata.com/­products/­influxdb-overviewsqream.com
Technical documentationdocs.citusdata.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhsqldb.org/­web/­hsqlDocsFrame.htmldocs.influxdata.com/­influxdbdocs.sqream.com
DeveloperSoftmotionsSQream Technologies
Initial release20102012200120132017
Current release8.1, December 20182.7.2, June 20232.7.6, April 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPLv2Open Source infobased on BSD licenseOpen Source infoMIT-License; commercial enterprise version availablecommercial
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 languageCCJavaGoC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxserver-lessAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X infothrough Homebrew
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesNumeric data and Stringsyes, ANSI Standard SQL Types
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 functionalitynono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared libraryHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
JSON over UDP
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava, SQLnouser defined functions in Python
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoin enterprise version onlyhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnonenoneselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
CitusEJDBHyperSQL infoalso known as HSQLDBInfluxDBSQream DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Recent citations in the news

Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
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