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DBMS > Kinetica vs. NSDb vs. SpatiaLite vs. WakandaDB

System Properties Comparison Kinetica vs. NSDb vs. SpatiaLite vs. WakandaDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonSpatiaLite  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpatial extension of SQLiteWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSSpatial DBMSObject 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
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitewww.kinetica.comnsdb.iowww.gaia-gis.it/­fossil/­libspatialite/­indexwakanda.github.io
Technical documentationdocs.kinetica.comnsdb.io/­Architecturewww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwakanda.github.io/­doc
DeveloperKineticaAlessandro FurieriWakanda SAS
Initial release2012201720082012
Current release7.1, August 20215.0.0, August 20202.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open 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++Java, ScalaC++C++, JavaScript
Server operating systemsLinuxLinux
macOS
server-lessLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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 indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
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 configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoyes

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More resources
KineticaNSDbSpatiaLiteWakandaDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

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26 March 2024, Datanami

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18 March 2024, SiliconANGLE News

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18 March 2024, GlobeNewswire

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provided by Google News



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