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DBMS > Kinetica vs. RDF4J vs. UniData,UniVerse vs. Weaviate

System Properties Comparison Kinetica vs. RDF4J vs. UniData,UniVerse vs. Weaviate

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MultiValue database and application server with SQL mapping layer and meta database capabilitiesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRDF storeMultivalue 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
Score0.72
Rank#222  Overall
#9  RDF stores
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.kinetica.comrdf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.kinetica.comrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidataweaviate.io/­developers/­weaviate
DeveloperKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket SoftwareWeaviate B.V.
Initial release2012200419852019
Current release7.1, August 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaCGo
Server operating systemsLinuxLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyes infoRDF Schemasschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesoptionalyes 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.nono
Secondary indexesyesyesyesyes 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 statementsnoyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyesyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyes
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID infoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights according to SQL-standard and operating system basedAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
KineticaRDF4J infoformerly known as SesameUniData,UniVerseWeaviate
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...
» more
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
KineticaRDF4J infoformerly known as SesameUniData,UniVerseWeaviate
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Weaviate, an ANN Database with CRUD support
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