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DBMS > Kinetica vs. PostGIS vs. Tkrzw vs. WakandaDB

System Properties Comparison Kinetica vs. PostGIS vs. Tkrzw vs. WakandaDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPostGIS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSpatial extension of PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSSpatial DBMSKey-value storeObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitewww.kinetica.compostgis.netdbmx.net/­tkrzwwakanda.github.io
Technical documentationdocs.kinetica.compostgis.net/­documentationwakanda.github.io/­doc
DeveloperKineticaMikio HirabayashiWakanda SAS
Initial release2012200520202012
Current release7.1, August 20213.4.2, February 20240.9.3, August 20202.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++C++, JavaScript
Server operating systemsLinuxLinux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
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.yes infoGPU vRAM or System RAMnoyes infousing specific database classesno
User concepts infoAccess controlAccess rights for users and roles on table levelyes infobased on PostgreSQLnoyes

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More resources
KineticaPostGISTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWakandaDB
DB-Engines blog posts

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