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DBMS > Apache Jena - TDB vs. SingleStore vs. Weaviate

System Properties Comparison Apache Jena - TDB vs. SingleStore vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRDF storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.singlestore.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.singlestore.comweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infooriginally developed by HP LabsSingleStore Inc.Weaviate B.V.
Initial release200020132019
Current release4.9.0, July 20238.5, January 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercial infofree developer edition availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++, GoGo
Server operating systemsAll OS with a Java VMLinux info64 bit version required
Data schemeyes infoRDF Schemasyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysGraphQL is used as query language
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaBash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesyesno
Triggersyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess control via Jena SecurityFine grained access control via users, groups and rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache Jena - TDBSingleStore infoformer name was MemSQLWeaviate
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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All companies that have data. ​
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Market metricsCustomers in various industries worldwide including US and International Industry...
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As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
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Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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Apache Jena - TDBSingleStore infoformer name was MemSQLWeaviate
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