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DBMS > AnzoGraph DB vs. CouchDB vs. InfinityDB vs. Milvus vs. Qdrant

System Properties Comparison AnzoGraph DB vs. CouchDB vs. InfinityDB vs. Milvus vs. Qdrant

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonInfinityDB  Xexclude from comparisonMilvus  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A Java embedded Key-Value Store which extends the Java Map interfaceA DBMS designed for efficient storage of vector data and vector similarity searchesA high-performance vector database with neural network or semantic-based matching
Primary database modelGraph DBMS
RDF store
Document storeKey-value storeVector DBMSVector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score8.30
Rank#47  Overall
#7  Document stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitecambridgesemantics.com/­anzographcouchdb.apache.orgboilerbay.commilvus.iogithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.couchdb.org/­en/­stableboilerbay.com/­infinitydb/­manualmilvus.io/­docs/­overview.mdqdrant.tech/­documentation
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerBoiler Bay Inc.Qdrant
Initial release20182005200220192021
Current release2.3, January 20213.3.3, December 20234.02.3.4, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageErlangJavaC++, GoRust
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or datenoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysVector, Numeric and StringNumbers, 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.nonononono
Secondary indexesnoyes infovia viewsno infomanual creation possible, using inversions based on multi-value capabilitynoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP/JSON APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC++
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
JavaC++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoimproved architecture with release 2.0noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
noneCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasenoRole based access control and fine grained access rightsKey-based authentication
More information provided by the system vendor
AnzoGraph DBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"InfinityDBMilvusQdrant
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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AnzoGraph DBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"InfinityDBMilvusQdrant
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