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DBMS > Citus vs. H2 vs. RethinkDB vs. Typesense

System Properties Comparison Citus vs. H2 vs. RethinkDB vs. Typesense

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonH2  Xexclude from comparisonRethinkDB  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsDocument storeSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.79
Rank#210  Overall
#14  Search engines
Websitewww.citusdata.comwww.h2database.comrethinkdb.comtypesense.org
Technical documentationdocs.citusdata.comwww.h2database.com/­html/­main.htmlrethinkdb.com/­docstypesense.org/­docs
DeveloperThomas MuellerThe Linux Foundation infosince July 2017
Initial release2010200520092015
Current release8.1, December 20182.2.220, July 20232.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures and User-Defined Functionsno
TriggersyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousers and table-level permissions

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