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DBMS > GeoSpock vs. TDSQL for MySQL vs. Tkrzw vs. Transwarp Hippo

System Properties Comparison GeoSpock vs. TDSQL for MySQL vs. Tkrzw vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp Hippo  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 scaleA 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 CabinetCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSRelational DBMSKey-value storeVector DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitegeospock.comwww.tencentcloud.com/­products/­dcdbdbmx.net/­tkrzwwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperGeoSpockTencentMikio Hirabayashi
Initial release201320202023
Current release2.0, September 20190.9.3, August 20201.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C++
Server operating systemshostedhostedLinux
macOS
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and String
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.nononono
Secondary indexestemporal, categoricalyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
PHP
Python
Ruby
C++
Java
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nonoyes infousing specific database classesyes
User concepts infoAccess controlAccess rights for users can be defined per tableUsers with fine-grained authorization conceptnoRole based access control and fine grained access rights

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More resources
GeoSpockTDSQL for MySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp Hippo
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