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DBMS > GridGain vs. Rockset vs. Tkrzw vs. Weaviate

System Properties Comparison GridGain vs. Rockset vs. Tkrzw vs. Weaviate

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRockset  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Relational DBMS
Document storeKey-value storeVector DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.gridgain.comrockset.comdbmx.net/­tkrzwgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.rockset.comweaviate.io/­developers/­weaviate
DeveloperGridGain Systems, Inc.RocksetMikio HirabayashiWeaviate B.V.
Initial release2007201920202019
Current releaseGridGain 8.5.10.9.3, August 20201.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open 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 languageJava, C++, .NetC++C++Go
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeyesschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesdynamic typingnoyes 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.yesno infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsnoGraphQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesyes infousing specific database classesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consolenoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GridGainRocksetTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWeaviate
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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GridGainRocksetTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWeaviate
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