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DBMS > Postgres-XL vs. Quasardb vs. RethinkDB vs. STSdb

System Properties Comparison Postgres-XL vs. Quasardb vs. RethinkDB vs. STSdb

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparisonRethinkDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSTime Series DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.postgres-xl.orgquasar.airethinkdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.postgres-xl.org/­documentationdoc.quasar.ai/­masterrethinkdb.com/­docs
DeveloperquasardbThe Linux Foundation infosince July 2017STS Soft SC
Initial release2014 infosince 2012, originally named StormDB200920092011
Current release10 R1, October 20183.14.1, January 20242.4.1, August 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++C#
Server operating systemsLinux
macOS
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infostring, binary, float, bool, date, geometryyes infoprimitive types and user defined types (classes)
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 infoXML type, but no XML query functionalitynono
Secondary indexesyesyes infowith tagsyesno
SQL infoSupport of SQLyes infodistributed, parallel query executionSQL-like query languagenono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API.NET Client API
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C 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
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnono
TriggersyesnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes infousers and table-level permissionsno

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More resources
Postgres-XLQuasardbRethinkDBSTSdb
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