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DBMS > Citus vs. GeoSpock vs. Pinecone vs. Typesense

System Properties Comparison Citus vs. GeoSpock vs. Pinecone vs. Typesense

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoSpock  Xexclude from comparisonPinecone  Xexclude from comparisonTypesense  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 managed, cloud-native vector databaseA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSVector DBMSSearch engine
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
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitewww.citusdata.comgeospock.comwww.pinecone.iotypesense.org
Technical documentationdocs.citusdata.comdocs.pinecone.io/­docs/­overviewtypesense.org/­docs
DeveloperGeoSpockPinecone Systems, Inc
Initial release201020192015
Current release8.1, December 20182.0, September 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC++
Server operating systemsLinuxhostedhostedLinux
Data schemeyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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 indexesyestemporal, categoricalyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI SQL for query only (using Presto)nono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCRESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python.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.nono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per table

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More resources
CitusGeoSpockPineconeTypesense
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