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DBMS > GridGain vs. H2 vs. Weaviate vs. YTsaurus

System Properties Comparison GridGain vs. H2 vs. Weaviate vs. YTsaurus

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonH2  Xexclude from comparisonWeaviate  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An AI-native realtime vector database engine that integrates scalable machine learning models.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSVector DBMSDocument store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Score0.15
Rank#323  Overall
#44  Document stores
#47  Key-value stores
Websitewww.gridgain.comwww.h2database.comgithub.com/­weaviate/­weaviate
weaviate.io
ytsaurus.tech
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2database.com/­html/­main.htmlweaviate.io/­developers/­weaviateytsaurus.tech/­docs/­en
DeveloperGridGain Systems, Inc.Thomas MuellerWeaviate B.V.Yandex
Initial release2007200520192023
Current releaseGridGain 8.5.12.2.220, July 20231.19, May 2023
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infocommercial license available with Weaviate EnterpriseOpen Source infoApache License, Version 2.0
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 languageJava, C++, .Net, Python, REST, SQLJavaGoC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
All OS with a Java VMUbuntu
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes
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.yesnonono
Secondary indexesyesyesyes 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 DDLyesGraphQL is used as query languageYQL, an SQL-based language, is supported
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaJavaScript / TypeScript
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined Functionsno
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a databaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
Access Control Lists
More information provided by the system vendor
GridGainH2WeaviateYTsaurus
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
GridGainH2WeaviateYTsaurus
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