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DBMS > GeoSpock vs. Greenplum vs. Quasardb vs. SpaceTime

System Properties Comparison GeoSpock vs. Greenplum vs. Quasardb vs. SpaceTime

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonQuasardb  Xexclude from comparisonSpaceTime  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Distributed, high-performance timeseries databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitegeospock.comgreenplum.orgquasar.aiwww.mireo.com/­spacetime
Technical documentationdocs.greenplum.orgdoc.quasar.ai/­master
DeveloperGeoSpockPivotal Software Inc.quasardbMireo
Initial release200520092020
Current release2.0, September 20197.0.0, September 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C++
Server operating systemshostedLinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.noyes infosince Version 4.2nono
Secondary indexestemporal, categoricalyesyes infowith tagsno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like query languageA subset of ANSI SQL is implemented
APIs and other access methodsJDBCJDBC
ODBC
HTTP APIRESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoconsistent hashingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate 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 persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeno
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes

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More resources
GeoSpockGreenplumQuasardbSpaceTime
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How GeoSpock is supercharging geospatial analytics
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