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DBMS > GRAKN.AI vs. GraphDB vs. Microsoft Azure Search

System Properties Comparison GRAKN.AI vs. GraphDB vs. Microsoft Azure Search

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
RDF store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#249  Overall
#19  Graph DBMS
#116  Relational DBMS
Score1.14
Rank#143  Overall
#9  Graph DBMS
#5  RDF stores
Score6.31
Rank#54  Overall
#6  Search engines
Websitegrakn.aigraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­search
DeveloperGrakn Labs LtdOntotextMicrosoft
Initial release201620002015
Current release1.6.2, January 20208.8, January 2019V1
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial 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 languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
hosted
Data schemeyesschema-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.nonono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnoSPARQL is used as query languageno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Server-side scripts infoStored proceduresnoJava Server Pluginno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandranoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes 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 controlyes infoat REST API level; other APIs in progressyesyes infousing Azure authentication
More information provided by the system vendor
GRAKN.AIGraphDB infoformer name: OWLIMMicrosoft Azure Search
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Metadata 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 modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

How Computer Vision Technology Can Bring Smart Surveillance to Retail    
6 February 2020

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
23 January 2020

A Graphful of Investment Opportunities
10 January 2020

Ontotext’s Most Popular Blog Posts for 2019
30 December 2019

A New Hope: The Rise of the Knowledge Graph
6 December 2019

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
GRAKN.AIGraphDB 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

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019 (finished)

Recent citations in the news

Semantic Knowledge Graphing Market Trend, Applications, Industry Key Players, Share by Region & 2020-2028 Growth Rate Forecast Report
12 February 2020, Instant Tech News

Grakn.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

GraphDB Goes Open Source
27 January 2020, iProgrammer

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

provided by Google News

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

Five Methods For Marketing Your Bespoke Cloud Service To Developers
22 January 2020, Forbes

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

Medfield Job Board: Health Care, Engineers | Medfield
31 January 2020, Medfield, MA Patch

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

provided by Google News

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