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DBMS > AllegroGraph vs. Milvus vs. OrientDB vs. Qdrant

System Properties Comparison AllegroGraph vs. Milvus vs. OrientDB vs. Qdrant

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMilvus  Xexclude from comparisonOrientDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesMulti-model DBMS (Document, Graph, Key/Value)A high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Vector DBMSDocument store
Graph DBMS
Key-value store
Vector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websiteallegrograph.commilvus.ioorientdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlmilvus.io/­docs/­overview.mdwww.orientdb.com/­docs/­last/­index.htmlqdrant.tech/­documentation
DeveloperFranz Inc.OrientDB LTD; CallidusCloud; SAPQdrant
Initial release2004201920102021
Current release8.0, December 20232.4.4, May 20243.2.29, March 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache Version 2.0
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 languageC++, GoJavaRust
Server operating systemsLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
Windows
Data schemeyes infoRDF schemasschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and StringyesNumbers, Strings, Geo, Boolean
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.no infobulk load of XML files possiblenonono
Secondary indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language, no joinsno
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava, Javascript
TriggersyesnoHooks
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRole based access control and fine grained access rightsAccess rights for users and roles; record level security configurableKey-based authentication
More information provided by the system vendor
AllegroGraphMilvusOrientDBQdrant
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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