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DBMS > JanusGraph vs. MongoDB vs. Weaviate

System Properties Comparison JanusGraph vs. MongoDB vs. Weaviate

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMongoDB  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 2017One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelGraph DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.99
Rank#109  Overall
#6  Graph DBMS
Score469.33
Rank#5  Overall
#1  Document stores
Score0.40
Rank#281  Overall
#19  Search engines
Websitejanusgraph.orgwww.mongodb.comgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationdocs.janusgraph.orgdocs.mongodb.com/­manualweaviate.io/­developers/­weaviate/­current
DeveloperLinux Foundation; originally developed as Titan by AureliusMongoDB, IncSeMI Technologies B.V.
Initial release201720092017
Current release0.6.1, January 20226.0.1, August 20221.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes 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 SQLnoRead-only SQL queries via the MongoDB Connector for BIGraphQL is used as query language
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
proprietary protocol using JSONGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyesJavaScriptno
Triggersyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and rolesOpenID Connect Discovery
More information provided by the system vendor
JanusGraph infosuccessor of TitanMongoDBWeaviate
Typical application scenariosAs a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersA ll companies that have data. ​
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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More resources
JanusGraph infosuccessor of TitanMongoDBWeaviate
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