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DBMS > AllegroGraph vs. GraphDB vs. Microsoft Azure Search

System Properties Comparison AllegroGraph vs. GraphDB vs. Microsoft Azure Search

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportSearch-as-a-service for web and mobile app development
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMS
RDF store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#170  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score1.39
Rank#142  Overall
#10  Graph DBMS
#5  RDF stores
Score6.70
Rank#55  Overall
#5  Search engines
Websiteallegrograph.comgraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­search
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­search
DeveloperFranz Inc.OntotextMicrosoft
Initial release200420002015
Current release7.0.0, April 20208.8, January 2019V1
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.yes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
hosted
Data schemeyes infoRDF schemasschema-free and OWL/RDFS-schema supportyes
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSPARQL is used as query languageSPARQL is used as query languageno
APIs and other access methodsRESTful HTTP API
SPARQL
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava Server Pluginno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyes infoImplicit feature of the cloud service
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, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesyes infousing Azure authentication
More information provided by the system vendor
AllegroGraphGraphDB infoformer name: OWLIMMicrosoft Azure Search
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

Eating the Knowledge Soup, Literally
10 July 2020

Boosting Cybersecurity Efficiency with Knowledge Graphs
9 July 2020

Star Wars: Knowledge Graph Federation
24 June 2020

Computer Vision Technology for Boosting Retailers’ Marketing & Product Management  
18 June 2020

If Curiosity Cabinets Were Knowledge Graphs
4 June 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
AllegroGraphGraphDB infoformer name: OWLIMMicrosoft Azure Search
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Conferences and events

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Webinar, 8:00 AM PST / 11:00 AM EST / 5:00 PM CEST, 30 July 2020 (finished)

Recent citations in the news

KMWorld AI 50: The Companies Empowering Intelligent Knowledge Management
7 July 2020, KMWorld Magazine

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

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Three Necessities For Maximizing Your Digital Twins Approach
4 November 2019, Forbes

Franz AllegroGraph 7 Provides Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 2020, Database Trends and Applications

provided by Google News

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Semantic Web Company and Ontotext Partner to Advance Enterprise Knowledge Graphs
17 June 2020, PR Newswire UK

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

provided by Google News

Microsoft Transforms Healthcare Once and For All
11 July 2020, AI Daily

Cognitive Search - Azure Search with AI | Azure Friday | Channel 9 - Microsoft
6 September 2019, Channel 9

Knowledge Mining with Azure Search | AI Show | Channel 9 - Microsoft
8 October 2019, Channel 9

Knowledge mining using the knowledge store feature of Azure Search - Microsoft
17 September 2019, Channel 9

Azure Cognitive Search brings knowledge mining to the enterprise
21 November 2019, SDTimes.com

provided by Google News

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