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DBMS > HugeGraph vs. Milvus vs. RavenDB vs. RDF4J

System Properties Comparison HugeGraph vs. Milvus vs. RavenDB vs. RDF4J

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMSVector DBMSDocument storeRDF store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
milvus.ioravendb.netrdf4j.org
Technical documentationhugegraph.apache.org/­docsmilvus.io/­docs/­overview.mdravendb.net/­docsrdf4j.org/­documentation
DeveloperBaiduHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2018201920102004
Current release0.92.3.4, January 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoC#Java
Server operating systemsLinux
macOS
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnoyes
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 indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGroovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsRole based access control and fine grained access rightsAuthorization levels configured per client per databaseno
More information provided by the system vendor
HugeGraphMilvusRavenDBRDF4J infoformerly known as Sesame
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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HugeGraphMilvusRavenDBRDF4J infoformerly known as Sesame
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