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DBMS > GraphDB vs. Ignite vs. Microsoft Azure SQL Database vs. RDF4J vs. Stardog

System Properties Comparison GraphDB vs. Ignite vs. Microsoft Azure SQL Database vs. RDF4J vs. Stardog

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Database as a Service offering with high compatibility to Microsoft SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Enterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSRDF storeGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score5.01
Rank#64  Overall
#12  Key-value stores
#35  Relational DBMS
Score28.20
Rank#25  Overall
#14  Relational DBMS
Score0.39
Rank#220  Overall
#10  RDF stores
Score0.81
Rank#165  Overall
#13  Graph DBMS
#7  RDF stores
Websitegraphdb.ontotext.comignite.apache.orgazure.microsoft.com/­en-us/­services/­sql-databaserdf4j.orgwww.stardog.com
Technical documentationgraphdb.ontotext.com/­documentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­sql-databasedocs.rdf4j.orgwww.stardog.com/­docs
DeveloperOntotextApache Software FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Stardog-Union
Initial release20002015201020042010
Current release8.8, January 2019Apache Ignite 2.6V126.2.3, July 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.noyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetC++JavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeschema-free and OWL/RDFS-schema supportyesyesyes infoRDF Schemasschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesno infoImport/export of XML data possible
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLyesnoSPARQL is used as query language
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresJava Server Pluginyes (compute grid and cache interceptors can be used instead)Transact SQLyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes (cache interceptors and events)yesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationyes (replicated cache)yes, with always 3 replicas availablenoneMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnoAccess rights for users and roles
More information provided by the system vendor
GraphDB infoformer name: OWLIMIgniteMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as SesameStardog
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
News

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

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 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.

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More resources
GraphDB infoformer name: OWLIMIgniteMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as SesameStardog
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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

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

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

GraphDB Improves the Knowledge Graph Experience in Latest Update
12 January 2020, Database Trends and Applications

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

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

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16 January 2020, GlobeNewswire

GridGain Shares Deep In-Memory Computing Expertise at Industry Events Around the World
14 January 2020, GlobeNewswire

GridGain Offers New Consulting Services Packages for Apache Ignite and GridGain Community Edition
1 August 2019, GlobeNewswire

Big Data Predictions: What 2020 Will Bring
23 December 2019, Datanami

GridGain Expands Support for Apache Ignite
8 February 2019, Datanami

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Deployment options for Azure SQL Database | Data Exposed - Microsoft
9 January 2020, Channel 9

Overview of Azure SQL Database Serverless
30 December 2019, Database Journal

It's just SQL: Collations in Azure SQL Database Managed Instance - Microsoft
2 January 2020, Channel 9

Understanding Azure Arc
14 January 2020, InfoWorld

Overview of Azure SQL Database Networking
25 November 2019, Database Journal

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Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

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

Trend-Setting Product of 2019: Ontotext: Ontotext GraphDB
8 July 2019, KMWorld Magazine

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

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