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DBMS > GeoMesa vs. PostGIS vs. Teradata Aster vs. VictoriaMetrics

System Properties Comparison GeoMesa vs. PostGIS vs. Teradata Aster vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPostGIS  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial extension of PostgreSQLPlatform for big data analytics on multistructured data sources and typesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelSpatial DBMSSpatial DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.geomesa.orgpostgis.netvictoriametrics.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlpostgis.net/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCCRi and othersTeradataVictoriaMetrics
Initial release2014200520052018
Current release4.0.5, February 20243.4.2, February 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL v2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaCGo
Server operating systemsLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesyes infoin Aster File Storeno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsR packagesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infobased on PostgreSQLyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.depending on storage layernonono
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
GeoMesaPostGISTeradata AsterVictoriaMetrics
DB-Engines blog posts

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6 April 2021, Matthias Gelbmann

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