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DBMS > Graph Engine vs. GraphDB vs. Microsoft Azure Synapse Analytics vs. SQream DB

System Properties Comparison Graph Engine vs. GraphDB vs. Microsoft Azure Synapse Analytics vs. SQream DB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Servera GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
Key-value store
Graph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#190  Overall
#17  Graph DBMS
#31  Key-value stores
Score2.65
Rank#105  Overall
#6  Graph DBMS
#4  RDF stores
Score17.27
Rank#39  Overall
#24  Relational DBMS
Score0.66
Rank#215  Overall
#107  Relational DBMS
Websitewww.graphengine.iowww.ontotext.comazure.microsoft.com/­services/­synapse-analyticssqream.com
Technical documentationwww.graphengine.io/­docs/­manualgraphdb.ontotext.com/­documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.sqream.com
DeveloperMicrosoftOntotextMicrosoftSQream Technologies
Initial release2010200020162014
Current release9.8, June 20212020.2, July 2020
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJavaC++C++, CUDA, Haskell
Server operating systems.NETAll OS with a Java VM
Linux
OS X
Windows
hostedLinux
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyes
APIs and other access methodsRESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQLuser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding, horizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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
Foreign keys infoReferential integritynoyes infoConstraint checkingno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.yes
More information provided by the system vendor
Graph Engine infoformer name: TrinityGraphDB infoformer name: OWLIMMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSQream DB
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB 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

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More resources
Graph Engine infoformer name: TrinityGraphDB infoformer name: OWLIMMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSQream DB
Conferences and events

Knowledge Graph Forum
Virtual Event, 10/26:3pm CEST, 10/27:7:30pm CEST, 26-27 October 2021

Recent citations in the news

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