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DBMS > Badger vs. Weaviate

System Properties Comparison Badger vs. Weaviate

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#298  Overall
#42  Key-value stores
Score2.08
Rank#143  Overall
#4  Vector DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerweaviate.io/­developers/­weaviate
DeveloperDGraph LabsWeaviate B.V.
Initial release20172019
Current release1.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyes 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.nono
Secondary indexesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoGraphQL is used as query language
APIs and other access methodsGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BadgerWeaviate
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. ‚Äč
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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...
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More resources
BadgerWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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