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DBMS > Apache Pinot vs. GeoMesa vs. PostGIS vs. Quasardb

System Properties Comparison Apache Pinot vs. GeoMesa vs. PostGIS vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGeoMesa  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelRelational DBMSSpatial DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitepinot.apache.orgwww.geomesa.orgpostgis.netquasar.ai
Technical documentationdocs.pinot.apache.orgwww.geomesa.org/­documentation/­stable/­user/­index.htmlpostgis.net/­documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsCCRi and othersquasardb
Initial release2015201420052009
Current release1.0.0, September 20235.0.0, May 20243.4.2, February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaCC++
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-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.noyesno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language
APIs and other access methodsJDBCHTTP API
Supported programming languagesGo
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layeryes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes infoTransient mode
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infobased on PostgreSQLCryptographically strong user authentication and audit trail

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More resources
Apache PinotGeoMesaPostGISQuasardb
DB-Engines blog posts

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