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DBMS > Badger vs. JanusGraph vs. SiriDB vs. Weaviate

System Properties Comparison Badger vs. JanusGraph vs. SiriDB vs. Weaviate

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSiriDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open Source Time Series DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeGraph DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerjanusgraph.orgsiridb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.janusgraph.orgdocs.siridb.comweaviate.io/­developers/­weaviate
DeveloperDGraph LabsLinux Foundation; originally developed as Titan by AureliusCesbitWeaviate B.V.
Initial release2017201720172019
Current release0.6.3, February 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMIT LicenseOpen 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 languageGoJavaCGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyes infoNumeric datayes 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 indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnononoGraphQL is used as query language
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoClojure
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serversimple rights management via user accountsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BadgerJanusGraph infosuccessor of TitanSiriDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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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...
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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
BadgerJanusGraph infosuccessor of TitanSiriDBWeaviate
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