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DBMS > AllegroGraph vs. Datomic vs. GraphDB

System Properties Comparison AllegroGraph vs. Datomic vs. GraphDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#174  Overall
#30  Document stores
#15  Graph DBMS
#7  RDF stores
Score2.10
Rank#136  Overall
#67  Relational DBMS
Score2.53
Rank#124  Overall
#8  Graph DBMS
#5  RDF stores
Websiteallegrograph.comwww.datomic.comwww.ontotext.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperFranz Inc.CognitectOntotext
Initial release200420122000
Current release7.2.0, October 20211.0.6362, January 20229.8, June 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial infoSome plugins of GraphDB Workbench are open sourced
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 languageJava, ClojureJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSPARQL is used as query languagenostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionswell-defined plugin interfaces; JavaScript server-side extensibility
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynonoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 development
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.
More information provided by the system vendor
AllegroGraphDatomicGraphDB infoformer name: OWLIM
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

What is a Semantic Layer?
6 January 2023

AllegroGraph Named “2023 – Trend Setting Product” by Database Trends and Applications
4 January 2023

The Hype Around Semantic Layers: How Important Are Standards?
11 November 2022

AllegroGraph Named “2022 Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2022

Using Ansible for AllegroGraph multi-server installation
7 November 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphDatomicGraphDB infoformer name: OWLIM
Conferences and events

GraphDB 10.1 – An Easy Ride for Beginners & Seasoned Veterans
4pm GMT | 5pm CET, 1 December 2022 (finished)

Recent citations in the news

AllegroGraph Named “2023 - Trend Setting Product” by Database
5 January 2023, MarTech Series

The expanding ease and utility of text analytics and natural ...
9 January 2023, KMWorld Magazine

The key to quantum computing AI applications: Flexible programming languages
2 July 2022, VentureBeat

Franz Inc. Named a Big Data 50 Innovator by Database Trends
27 September 2022, EIN News

Neuro-Symbolic AI: The Peak of Artificial Intelligence
16 November 2021, AiThority

provided by Google News

The Architecture of Datomic
2 November 2012, InfoQ.com

Brazil’s Nubank Acquires US Software Firm Cognitect
30 July 2020, Nearshore Americas

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal ...
16 August 2021, InfoQ.com

Clojure inventor Hickey now aims for Android
22 March 2012, InfoWorld

provided by Google News

Ontotext Announces Latest Major Release, GraphDB 10
5 July 2022, Datanami

Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
5 July 2022, PR Newswire

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs ...
11 September 2020, PR Newswire

Top 9 Open Source Graph Databases
7 November 2022, Analytics India Magazine

The Right Data to the Right People at the Right Time
30 August 2022, Direct Relief

provided by Google News

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