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DBMS > Amazon Neptune vs. GraphDB vs. Microsoft Azure SQL Database vs. Rockset

System Properties Comparison Amazon Neptune vs. GraphDB vs. Microsoft Azure SQL Database vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEnterprise-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.Database as a Service offering with high compatibility to Microsoft SQL ServerA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Relational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteaws.amazon.com/­neptunewww.ontotext.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaserockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.rockset.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAmazonOntotextMicrosoftRockset
Initial release2017200020102019
Current release10.4, October 2023V12
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
hostedhosted
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.nonoyesno infoingestion from XML files supported
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesall fields are automatically indexed
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replicationyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Default 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.fine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Amazon NeptuneGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureRockset
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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