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DBMS > eXtremeDB vs. GridDB vs. Weaviate

System Properties Comparison eXtremeDB vs. GridDB vs. Weaviate

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGridDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringScalable in-memory time series database optimized for IoT and Big DataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSVector DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.mcobject.comgriddb.netgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.griddb.netweaviate.io/­developers/­weaviate
DeveloperMcObjectToshiba CorporationWeaviate B.V.
Initial release200120132019
Current release8.2, 20215.1, August 20221.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Go
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes 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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL92, SQL-like TQL (Toshiba Query Language)GraphQL is used as query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes
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 databaseAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
eXtremeDBGridDBWeaviate
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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GridDB is a highly scalable, in-memory time series database optimized for IoT and...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
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As a database supporting the development of generative AI and semantic search applications...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
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All companies that have data. ​
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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GitHub trending repository
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As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Open 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...
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Recent citations in the news

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