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DBMS > GeoSpock vs. PostGIS vs. TDSQL for MySQL vs. Tkrzw

System Properties Comparison GeoSpock vs. PostGIS vs. TDSQL for MySQL vs. Tkrzw

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonPostGIS  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 scaleSpatial extension of PostgreSQLA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSSpatial DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegeospock.compostgis.netwww.tencentcloud.com/­products/­dcdbdbmx.net/­tkrzw
Technical documentationpostgis.net/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperGeoSpockTencentMikio Hirabayashi
Initial release200520132020
Current release2.0, September 20193.4.2, February 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptCC++
Server operating systemshostedhostedLinux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesno
APIs and other access methodsJDBCJDBC
ODBC
Supported programming languagesC
C#
C++
Java
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyes infobased on PostgreSQLAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 datanoACIDACID
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.nononoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per tableyes infobased on PostgreSQLUsers with fine-grained authorization conceptno

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More resources
GeoSpockPostGISTDSQL for MySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

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