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DBMS > Citus vs. GeoSpock vs. Percona Server for MongoDB vs. Quasardb

System Properties Comparison Citus vs. GeoSpock vs. Percona Server for MongoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoSpock  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLSpatial and temporal data processing engine for extreme data scaleA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.citusdata.comgeospock.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.ai
Technical documentationdocs.citusdata.comdocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­master
DeveloperGeoSpockPerconaquasardb
Initial release201020152009
Current release8.1, December 20182.0, September 20193.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC++C++
Server operating systemsLinuxhostedLinuxBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 functionalitynonono
Secondary indexesyestemporal, categoricalyesyes infowith tags
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCproprietary protocol using JSONHTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJavaScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovia In-Memory Engineyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights for users and rolesCryptographically strong user authentication and audit trail

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More resources
CitusGeoSpockPercona Server for MongoDBQuasardb
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