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DBMS > AllegroGraph vs. Datomic

System Properties Comparison AllegroGraph vs. Datomic

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Our visitors often compare AllegroGraph and Datomic with Microsoft Azure Cosmos DB, Google Cloud Datastore and GraphDB.

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  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 durability
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#174  Overall
#30  Document stores
#15  Graph DBMS
#7  RDF stores
Score1.75
Rank#131  Overall
#64  Relational DBMS
Websiteallegrograph.comwww.datomic.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.com
DeveloperFranz Inc.Cognitect
Initial release20042012
Current release7.2.0, October 20211.0.6362, January 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Data schemeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyes
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 possibleno
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageno
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functions
TriggersyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.noyes inforecommended only for testing and development
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
AllegroGraphDatomic
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

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18 July 2022

Semantics for Data Lakehouses
30 June 2022

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10 June 2022

The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs
20 May 2022

SCALE 2022 – Southern California Linux Expo
19 May 2022

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More resources
AllegroGraphDatomic
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