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DBMS > Kinetica vs. STSdb vs. TempoIQ vs. Weaviate

System Properties Comparison Kinetica vs. STSdb vs. TempoIQ vs. Weaviate

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSTSdb  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonWeaviate  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFully vectorized database across both GPUs and CPUsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable analytics DBMS for sensor data, provided as a service (SaaS)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeTime Series DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.kinetica.comgithub.com/­STSSoft/­STSdb4tempoiq.com (offline)github.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.kinetica.comweaviate.io/­developers/­weaviate
DeveloperKineticaSTS Soft SCTempoIQWeaviate B.V.
Initial release2012201120122019
Current release7.1, August 20214.0.8, September 20151.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availablecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C#Go
Server operating systemsLinuxWindows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonono
Secondary indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client APIHTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
C#
Java
JavaScript infoNode.js
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
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 Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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
User concepts infoAccess controlAccess rights for users and roles on table levelnosimple authentication-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
KineticaSTSdbTempoIQ infoformerly TempoDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
KineticaSTSdbTempoIQ infoformerly TempoDBWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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