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DBMS > GridDB vs. OrigoDB vs. TerarkDB vs. Weaviate

System Properties Comparison GridDB vs. OrigoDB vs. TerarkDB vs. Weaviate

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA fully ACID in-memory object graph databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Key-value 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
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegriddb.netorigodb.comgithub.com/­bytedance/­terarkdbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.griddb.netorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcweaviate.io/­developers/­weaviate
DeveloperToshiba CorporationRobert Friberg et alByteDance, originally TerarkWeaviate B.V.
Initial release20132009 infounder the name LiveDB20162019
Current release5.1, August 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Sourcecommercial inforestricted open source version availableOpen 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#C++Go
Server operating systemsLinuxLinux
Windows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampUser defined using .NET types and collectionsnoyes 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 infocan be achieved using .NETnono
Secondary indexesyesyesnoyes 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)nonoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.NetC++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes
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 containersEventual Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole based authorizationnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GridDBOrigoDBTerarkDBWeaviate
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
GridDBOrigoDBTerarkDBWeaviate
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