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DBMS > Badger vs. OpenMLDB vs. TerminusDB vs. Weaviate

System Properties Comparison Badger vs. OpenMLDB vs. TerminusDB vs. Weaviate

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An open-source machine learning database that provides a feature platform for training and inferenceScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeTime Series DBMSGraph DBMSVector DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegithub.com/­dgraph-io/­badgeropenmldb.aiterminusdb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeropenmldb.ai/­docs/­zh/­mainterminusdb.github.io/­terminusdb/­#weaviate.io/­developers/­weaviate
DeveloperDGraph Labs4 Paradigm Inc.DataChemist Ltd.Weaviate B.V.
Initial release2017202020182019
Current release2024-2 February 202411.0.0, January 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL V3Open 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 languageGoC++, Java, ScalaProlog, RustGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeFixed schemayesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyesyes 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 indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesSQL-like query language (WOQL)GraphQL is used as query language
APIs and other access methodsJDBC
SQLAlchemy
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoC++
Go
Java
Python
Scala
JavaScript
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationJournaling Streamsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BadgerOpenMLDBTerminusDB infoformer name was DataChemistWeaviate
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...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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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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BadgerOpenMLDBTerminusDB infoformer name was DataChemistWeaviate
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