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DBMS > AllegroGraph vs. Datomic vs. Faircom EDGE vs. FoundationDB

System Properties Comparison AllegroGraph vs. Datomic vs. Faircom EDGE vs. FoundationDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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 durabilityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOrdered key-value store. Core features are complimented by layers.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
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
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Websiteallegrograph.comwww.datomic.comwww.faircom.com/­products/­faircom-edgegithub.com/­apple/­foundationdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlapple.github.io/­foundationdb
DeveloperFranz Inc.CognitectFairCom CorporationFoundationDB
Initial release2004201219792013
Current release8.0, December 20231.0.6735, June 2023V3, October 20206.2.28, November 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial infoRestricted, free version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureANSI C, C++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesno infosome layers support typing
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 possiblenoyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoANSI SQL queriessupported in specific SQL layer only
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsyes info.Net, JavaScript, C/C++in SQL-layer only
TriggersyesBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Tunable Consistency
Linearizable consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 authenticationnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no
More information provided by the system vendor
AllegroGraphDatomicFaircom EDGE infoformerly c-treeEDGEFoundationDB
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
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