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DBMS > Amazon Neptune vs. GraphDB vs. Stardog

System Properties Comparison Amazon Neptune vs. GraphDB vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonStardog  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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#118  Overall
#8  Graph DBMS
#5  RDF stores
Score2.25
Rank#108  Overall
#6  Graph DBMS
#4  RDF stores
Score1.71
Rank#126  Overall
#10  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­neptunewww.ontotext.comwww.stardog.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgraphdb.ontotext.com/­documentationdocs.stardog.com
DeveloperAmazonOntotextStardog-Union
Initial release201720002010
Current release9.6, February 20217.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial 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 serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-free and OWL/RDFS-schema support
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 infoImport/export of XML data possible
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
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 languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoConstraint checkingyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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.Access rights for users and roles
More information provided by the system vendor
Amazon NeptuneGraphDB infoformer name: OWLIMStardog
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» 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

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More resources
Amazon NeptuneGraphDB infoformer name: OWLIMStardog
Conferences and events

Accelerated R&D with a FAIR Data Fabric in Life Sciences
Webinar, 7am PDT / 10am EDT / 5pm CEST / 6pm EEST, 14 April 2021 (finished)

Recent citations in the news

Dgraph GraphQL database users detail graph use cases
20 April 2021, TechTarget

The Knowledge Graph expands as discipline’s conference spreads its wings
7 May 2021, ZDNet

Pulumi cloud engineering boosts dev infrastructure control
20 April 2021, TechTarget

Catching up with Amazon Neptune
26 November 2019, ZDNet

Amazon unveils dozens of machine learning tools
9 December 2020, TechRepublic

provided by Google News

Ontotext Platform 3.4 Brings Better Search and Aggregation in Knowledge Graphs
15 April 2021, PRNewswire

The Pros and Cons of RDF-Star and Sparql-Star
29 April 2021, BBN Times

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

Six Secret SPARQL Ninja Tricks
8 May 2021, BBN Times

eccenca and Ontotext Partner to Advance Enterprise Data Management
3 February 2021, PRNewswire

provided by Google News

Job opportunities

Amazon Neptune, Product Leader
Amazon Dev Center U.S., Inc., Seattle, WA

Amazon Neptune - Software Dev Engineer
Amazon Dev Center U.S., Inc., East Palo Alto, CA

Software Development Engineer, Graph Query Optimization (Amazon Neptune)
Amazon Dev Center U.S., Inc., Seattle, WA

Software Dev Engineer - Amazon Neptune Platform
Amazon Dev Center U.S., Inc., Seattle, WA

Senior Software Engineer for Query Planning and Optimization, Amazon Neptune
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jobs by Indeed




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