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DBMS > PostGIS vs. Splice Machine vs. TempoIQ

System Properties Comparison PostGIS vs. Splice Machine vs. TempoIQ

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSplice Machine  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionSpatial extension of PostgreSQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelSpatial DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitepostgis.netsplicemachine.comtempoiq.com (offline)
Technical documentationpostgis.net/­documentationsplicemachine.com/­how-it-works
DeveloperSplice MachineTempoIQ
Initial release200520142012
Current release3.4.2, February 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyesyesschema-free
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLyesyesno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoJavano
Triggersyesyesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
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 datayesyes, multi-version concurrency control (MVCC)yes
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.noyesno
User concepts infoAccess controlyes infobased on PostgreSQLAccess rights for users, groups and roles according to SQL-standardsimple authentication-based access control

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More resources
PostGISSplice MachineTempoIQ infoformerly TempoDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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