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DBMS > Blazegraph vs. CouchDB vs. Datomic vs. Hive vs. Milvus

System Properties Comparison Blazegraph vs. CouchDB vs. Datomic vs. Hive vs. Milvus

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonHive  Xexclude from comparisonMilvus  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score9.30
Rank#45  Overall
#7  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteblazegraph.comcouchdb.apache.orgwww.datomic.comhive.apache.orgmilvus.io
Technical documentationwiki.blazegraph.comdocs.couchdb.org/­en/­stabledocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homemilvus.io/­docs/­overview.md
DeveloperBlazegraphApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectApache Software Foundation infoinitially developed by Facebook
Initial release20062005201220122019
Current release2.1.5, March 20193.3.3, December 20231.0.6735, June 20233.1.3, April 20222.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache version 2commercial infolimited edition freeOpen Source infoApache Version 2Open 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 languageJavaErlangJava, ClojureJavaC++, Go
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesyesVector, Numeric and String
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.nonono
Secondary indexesyesyes infovia viewsyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
C++
Java
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceno
TriggersnoyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per databasenoAccess rights for users, groups and rolesRole based access control and fine grained access rights
More information provided by the system vendor
BlazegraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicHiveMilvus
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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BlazegraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicHiveMilvus
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