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DBMS > Citus vs. GeoMesa vs. Hive vs. PostGIS vs. Qdrant

System Properties Comparison Citus vs. GeoMesa vs. Hive vs. PostGIS vs. Qdrant

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoMesa  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.data warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSSpatial DBMSRelational DBMSSpatial DBMSVector DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitewww.citusdata.comwww.geomesa.orghive.apache.orgpostgis.netgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.citusdata.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationqdrant.tech/­documentation
DeveloperCCRi and othersApache Software Foundation infoinitially developed by FacebookQdrant
Initial release20102014201220052021
Current release8.1, December 20185.0.0, May 20243.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoGPL v2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScalaJavaCRust
Server operating systemsLinuxAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesNumbers, Strings, Geo, Boolean
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 functionalitynoyesno
Secondary indexesyesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsdepending on storage layerselectable replication factoryes infobased on PostgreSQLCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layernoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesyes infobased on PostgreSQLKey-based authentication

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More resources
CitusGeoMesaHivePostGISQdrant
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