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DBMS > Badger vs. RavenDB vs. SWC-DB vs. Weaviate

System Properties Comparison Badger vs. RavenDB vs. SWC-DB vs. Weaviate

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMSA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelKey-value storeDocument storeWide column storeSearch engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#302  Overall
#44  Key-value stores
Score3.21
Rank#94  Overall
#16  Document stores
Score0.00
Rank#353  Overall
#13  Wide column stores
Score0.18
Rank#292  Overall
#15  Search engines
Websitegithub.com/­dgraph-io/­badgerravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerravendb.net/­docswww.semi.technology/­developers/­weaviate/­current
DeveloperDGraph LabsHibernating RhinosAlex KashirinSeMI Technologies B.V.
Initial release2017201020202017
Current release5.2, June 20210.5, April 20211.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen 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#C++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenonoyes 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.nonono
Secondary indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like query languageGraphQL is used as query language
APIs and other access methods.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C++
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linqnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlnoAccess control on document level using the Authorization BundleOpenID Connect Discovery
More information provided by the system vendor
BadgerRavenDBSWC-DB infoSuper Wide Column DatabaseWeaviate
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BadgerRavenDBSWC-DB infoSuper Wide Column DatabaseWeaviate
DB-Engines blog posts

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

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