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DBMS > Apache Jena - TDB vs. Microsoft Azure AI Search vs. SiteWhere vs. Weaviate

System Properties Comparison Apache Jena - TDB vs. Microsoft Azure AI Search vs. SiteWhere vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRDF storeSearch engineTime Series DBMSVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#93  Overall
#3  RDF stores
Score5.75
Rank#58  Overall
#7  Search engines
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewheregithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmllearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.htmlweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infooriginally developed by HP LabsMicrosoftSiteWhereWeaviate B.V.
Initial release2000201520102019
Current release4.9.0, July 2023V11.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeyes infoRDF Schemasyespredefined schemeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnononoGraphQL is used as query language
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
RESTful HTTP APIHTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaC#
Java
JavaScript
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnono
Triggersyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB Transactionsnonono
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
User concepts infoAccess controlAccess control via Jena Securityyes infousing Azure authenticationUsers with fine-grained authorization conceptAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache Jena - TDBMicrosoft Azure AI SearchSiteWhereWeaviate
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
Apache Jena - TDBMicrosoft Azure AI SearchSiteWhereWeaviate
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