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DBMS > AllegroGraph vs. Datomic vs. Infobright

System Properties Comparison AllegroGraph vs. Datomic vs. Infobright

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonInfobright  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 durabilityHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#156  Overall
#26  Document stores
#13  Graph DBMS
#7  RDF stores
Score2.71
Rank#106  Overall
#52  Relational DBMS
Score1.21
Rank#153  Overall
#75  Relational DBMS
Websiteallegrograph.comwww.datomic.comwww.ignitetech.com/­infobright-db
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.com
DeveloperFranz Inc.CognitectIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release200420122005
Current release7.0.0, April 20200.9.5951, July 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
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, ClojureC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Windows
Data schemeyes infoRDF schemasyesyes
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 indexesyesyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLSPARQL is used as query languagenoyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsno
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 peersSource-replica 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 integritynonono
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 developmentyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities
More information provided by the system vendor
AllegroGraphDatomicInfobright
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

Data Fabrics and Knowledge Graphs — A Symbiotic Relationship
6 November 2020

RDF vs Property Graph – The Graph Show
3 November 2020

Text Analytics Forum 2020 – KMWorld Connect
27 October 2020

Sharing Ontologies Globally To Speed Science And Healthcare Solutions – OntoPortal
7 October 2020

Knowledge Graphs: A Single Source of Truth for the Enterprise
5 October 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphDatomicInfobright
Recent citations in the news

Data-driven 2021: Predictions for a new year in data, analytics and AI
31 December 2020, ZDNet

Information governance 101: The regulatory compliance survival kit
11 January 2021, KMWorld Magazine

Franz's AllegroGraph 7 Gains Broad Recognition in 2020 as a Leading Knowledge Graph Solution
9 December 2020, Business Wire

Using speech technology to make real-time decisions at KMWorld Connect 2020
17 November 2020, KMWorld Magazine

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

provided by Google News

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

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

Latin American banking giant Nubank snaps up US software company
24 July 2020, AltFi

Fintech Powerhouse Nubank Buys U.S. Software Firm Cognitect
23 July 2020, BloombergQuint

Nubank's credit card business surges in Brazil
2 October 2020, Euromoney magazine

provided by Google News

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

provided by Google News

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