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DBMS > Badger vs. OpenMLDB vs. PouchDB vs. Weaviate

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPouchDB  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 inferenceJavaScript DBMS with an API inspired by CouchDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeTime Series DBMSDocument storeVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitegithub.com/­dgraph-io/­badgeropenmldb.aipouchdb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeropenmldb.ai/­docs/­zh/­mainpouchdb.com/­guidesweaviate.io/­developers/­weaviate
DeveloperDGraph Labs4 Paradigm Inc.Apache Software FoundationWeaviate B.V.
Initial release2017202020122019
Current release2024-2 February 20247.1.1, June 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen SourceOpen 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, ScalaJavaScriptGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeFixed schemaschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesnoyes 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 infovia viewsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnoGraphQL is used as query language
APIs and other access methodsJDBC
SQLAlchemy
HTTP REST infoonly for PouchDB Server
JavaScript API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoC++
Go
Java
Python
Scala
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoView functions in JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BadgerOpenMLDBPouchDBWeaviate
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...
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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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BadgerOpenMLDBPouchDBWeaviate
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