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DBMS > Databend vs. GridDB vs. H2 vs. Weaviate

System Properties Comparison Databend vs. GridDB vs. H2 vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGridDB  Xexclude from comparisonH2  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityScalable in-memory time series database optimized for IoT and Big DataFull-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.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
griddb.netwww.h2database.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databend.comdocs.griddb.netwww.h2database.com/­html/­main.htmlweaviate.io/­developers/­weaviate
DeveloperDatabend LabsToshiba CorporationThomas MuellerWeaviate B.V.
Initial release2021201320052019
Current release1.0.59, April 20235.1, August 20222.2.220, July 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++JavaGo
Server operating systemshosted
Linux
macOS
LinuxAll OS with a Java VM
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes 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.nononono
Secondary indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)yesGraphQL is used as query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 controlUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabendGridDBH2Weaviate
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
DatabendGridDBH2Weaviate
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