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DBMS > Citus vs. Drizzle vs. GeoSpock

System Properties Comparison Citus vs. Drizzle vs. GeoSpock

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#108  Overall
#55  Relational DBMS
Score0.34
Rank#296  Overall
#135  Relational DBMS
Websitewww.citusdata.comgeospock.com
Technical documentationdocs.citusdata.comdocs.geospock.com/­Content/­Home.htm
DeveloperDrizzle project, originally started by Brian AkerGeoSpock
Initial release20102008
Current release8.1, December 20187.2.4, September 20122.0, September 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java, Javascript
Server operating systemsLinuxFreeBSD
Linux
OS X
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 functionalityno
Secondary indexesyesyestemporal, categorical
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infowith proprietary extensionsANSI SQL for query only (using Presto)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
PHP
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per table

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CitusDrizzleGeoSpock
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