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DBMS > GridDB vs. Interbase vs. RDF4J vs. Weaviate

System Properties Comparison GridDB vs. Interbase vs. RDF4J vs. Weaviate

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInterbase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataLight-weight proven RDBMS infooriginally from BorlandRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSRelational DBMSRDF storeVector DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegriddb.netwww.embarcadero.com/­products/­interbaserdf4j.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.griddb.netdocs.embarcadero.com/­products/­interbaserdf4j.org/­documentationweaviate.io/­developers/­weaviate
DeveloperToshiba CorporationEmbarcaderoSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Weaviate B.V.
Initial release2013198420042019
Current release5.1, August 2022InterBase 2020, December 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaGo
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes infoRDF Schemasyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes 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 infoexport as XML data possibleno
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInterbase Change Viewsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GridDBInterbaseRDF4J infoformerly known as SesameWeaviate
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
All companies that have data. ​
» more
Market metricsGitHub trending repository
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
GridDBInterbaseRDF4J infoformerly known as SesameWeaviate
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Weaviate, an ANN Database with CRUD support
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