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DBMS > AllegroGraph vs. Datomic vs. Fauna

System Properties Comparison AllegroGraph vs. Datomic vs. Fauna

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  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 durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.23
Rank#159  Overall
#28  Document stores
#14  Graph DBMS
#7  RDF stores
Score1.80
Rank#131  Overall
#65  Relational DBMS
Score1.63
Rank#139  Overall
#23  Document stores
#12  Graph DBMS
#68  Relational DBMS
#9  Time Series DBMS
Websiteallegrograph.comwww.datomic.comfauna.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comdocs.fauna.com
DeveloperFranz Inc.CognitectFauna, Inc.
Initial release200420122014
Current release7.2, October 20210.9.5951, July 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
SQL infoSupport of SQLSPARQL is used as query languagenono
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsuser defined functions
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashing
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
Foreign keys infoReferential integritynonoyes
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 developmentno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoIdentity management, authentication, and access control
More information provided by the system vendor
AllegroGraphDatomicFauna infopreviously named FaunaDB
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

Franz’s AllegroGraph Name “Best Knowledge Graph” by KMWorld Readers’ Choice
8 November 2021

AllegroGraph v7.2 – Now Available (GNN, Virtual Graphs, Spark, and Kafka)
25 October 2021

Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions
25 September 2021

Essilor’s Knowledge Graph for Global Supply Chain Risk Management
14 September 2021

No-Code Queries Can Accelerate AI and Data Analytics
1 September 2021

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More resources
AllegroGraphDatomicFauna infopreviously named FaunaDB
Recent citations in the news

Knowledge graph insights from KMWorld Connect 2021
24 November 2021, KMWorld Magazine

Franz’s AllegroGraph Name “Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2021, EIN News

AiThority Interview with Dr. Jans Aasman, CEO at Franz
1 July 2021, AiThority

Verint Speakers Explore How AI and Digital-First Engagement are Driving Innovation in the Contact Center
1 November 2021, Business Wire

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10 November 2021, The Lancet

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

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

provided by Google News

Fauna Introduces Fauna Labs to Help Developers Adopt Database Service
3 July 2021, InfoQ.com

Fauna CEO says cloud APIs help developers build apps without a database
9 May 2021, VentureBeat

How Fauna Delivers Data-as-Utility in a Serverless World | eWEEK
23 April 2021, eWeek

Cracking the Code: An analysis of customs HS codes used in the trade in wild animals and plants from Africa to Asia - Wildlife Trade Report from TRAFFIC - TRAFFIC
17 November 2021, Wildlife Trade News

Inferring predator–prey interaction in the subterranean environment: a case study from Dinaric caves | Scientific Reports
4 November 2021, Nature.com

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