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DBMS > AllegroGraph vs. CouchDB vs. Datomic

System Properties Comparison AllegroGraph vs. CouchDB vs. Datomic

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA 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 durability
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score17.25
Rank#35  Overall
#5  Document stores
Score2.83
Rank#101  Overall
#49  Relational DBMS
Websiteallegrograph.comcouchdb.apache.orgwww.datomic.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.couchdb.org/­en/­stabledocs.datomic.com
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitect
Initial release200420052012
Current release7.0.0, April 20203.0, February 20200.9.5951, July 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava, Clojure
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 possiblenono
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLSPARQL is used as query languagenono
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispView functions in JavaScriptyes infoTransaction Functions
TriggersyesyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and development
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users can be defined per databaseno
More information provided by the system vendor
AllegroGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Datomic
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Datomic
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Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020

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29 April 2020, PR Web

AllegroGraph Named to 100 Companies That Matter Most in Data
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