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DBMS > JanusGraph vs. MonetDB vs. Weaviate

System Properties Comparison JanusGraph vs. MonetDB vs. Weaviate

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMonetDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A relational database management system that stores data in columnsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitejanusgraph.orgwww.monetdb.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.janusgraph.orgwww.monetdb.org/­Documentationweaviate.io/­developers/­weaviate
DeveloperLinux Foundation; originally developed as Titan by AureliusMonetDB BVWeaviate B.V.
Initial release201720042019
Current release0.6.3, February 2023Dec2023 (11.49), December 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCGo
Server operating systemsLinux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsGraphQL is used as query language
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesyes, in SQL, C, Rno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yes
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
JanusGraph infosuccessor of TitanMonetDBWeaviate
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...
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More resources
JanusGraph infosuccessor of TitanMonetDBWeaviate
DB-Engines blog posts

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

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