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DBMS > AllegroGraph vs. Datomic vs. EJDB vs. Graph Engine

System Properties Comparison AllegroGraph vs. Datomic vs. EJDB vs. Graph Engine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument storeGraph DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websiteallegrograph.comwww.datomic.comgithub.com/­Softmotions/­ejdbwww.graphengine.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.graphengine.io/­docs/­manual
DeveloperFranz Inc.CognitectSoftmotionsMicrosoft
Initial release2004201220122010
Current release8.0, December 20231.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoGPLv2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC.NET and C
Server operating systemsLinux
OS X
Windows
All OS with a Java VMserver-less.NET
Data schemeyes infoRDF schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyes
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 indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIin-process shared libraryRESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsnoyes
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersnone
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 Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
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 controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnono
More information provided by the system vendor
AllegroGraphDatomicEJDBGraph Engine infoformer name: Trinity
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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17 April 2024

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3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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