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DBMS > GraphDB vs. Microsoft Azure SQL Database vs. Stardog vs. TigerGraph

System Properties Comparison GraphDB vs. Microsoft Azure SQL Database vs. Stardog vs. TigerGraph

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportDatabase as a Service offering with high compatibility to Microsoft SQL ServerEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#143  Overall
#9  Graph DBMS
#5  RDF stores
Score31.41
Rank#25  Overall
#14  Relational DBMS
Score0.91
Rank#162  Overall
#12  Graph DBMS
#6  RDF stores
Score0.87
Rank#165  Overall
#13  Graph DBMS
Websitegraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­sql-databasewww.stardog.comwww.tigergraph.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­sql-databasewww.stardog.com/­docsdocs.tigergraph.com
DeveloperOntotextMicrosoftStardog-Union
Initial release2000201020102017
Current release8.8, January 2019V126.2.3, July 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.yesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
hostedLinux
macOS
Windows
Linux
Data schemeschema-free and OWL/RDFS-schema supportyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno infoImport/export of XML data possibleno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL is used as query languageyesSPARQL is used as query languageSQL-like query language (GSQL)
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresJava Server PluginTransact SQLuser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersnoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationyes, with always 3 replicas availableMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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 Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoConstraint checkingyesyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access control
More information provided by the system vendor
GraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureStardogTigerGraph
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
TigerGraph is a native graph database, with massively parallel processing and fully...
» 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
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» 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
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» 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
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» 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
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» 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
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more
News

Crafting a Knowledge Graph: The Semantic Data Modeling Way
20 February 2020

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

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
GraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureStardogTigerGraph
DB-Engines blog posts

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

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, 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

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

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

provided by Google News

Introduction to Azure SQL Database Auto-Failover Groups
17 February 2020, Database Journal

SentryOne Launches New Experience for Teams Managing Database Performance Monitoring
11 February 2020, Yahoo Finance

Microsoft Azure Updates: Cloud vulnerabilities; Shared Disks; Connected Vehicle Platform; New partnerships; Great Barrier Reef
15 February 2020, MSDynamicsWorld.com

AZ-900: Microsoft Azure Fundamentals
3 February 2020, Techwire.net

How to carefully plan a database migration to the cloud
6 February 2020, TechTarget

provided by Google News

Virtual Roundtable Feb. 5: Updating Health Care, Pharma IT with Graph Database, Analytics
3 February 2020, eWeek

TigerGraph raises $32 million for graph database tools
25 September 2019, VentureBeat

TigerGraph launches graph database as a service
2 October 2019, InfoWorld

TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness
3 December 2019, GlobeNewswire

TigerGraph Improves Graph Database As A Service
9 January 2020, iProgrammer

provided by Google News

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