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DBMS > Amazon DocumentDB vs. GraphDB vs. Microsoft Azure SQL Database vs. Stardog

System Properties Comparison Amazon DocumentDB vs. GraphDB vs. Microsoft Azure SQL Database vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise 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 reasoning
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#166  Overall
#25  Document stores
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
Websiteaws.amazon.com/­documentdbgraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­sql-databasewww.stardog.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­sql-databasewww.stardog.com/­docs
DeveloperOntotextMicrosoftStardog-Union
Initial release2019200020102010
Current release8.8, January 2019V126.2.3, July 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial 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.yesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-free and OWL/RDFS-schema support
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.nonoyesno infoImport/export of XML data possible
Secondary indexesyesyes, 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 SQLnoSPARQL is used as query languageyesSPARQL is used as query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)GeoSPARQL
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
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.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
Server-side scripts infoStored proceduresnoJava Server PluginTransact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyes 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 for high availability, asynchronous replication for up to 15 read replicasMaster-master replicationyes, with always 3 replicas availableMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
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 ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoConstraint checkingyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
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.yes
User concepts infoAccess controlAccess rights for users and rolesyesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Amazon DocumentDBGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureStardog
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
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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
Amazon DocumentDBGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureStardog
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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

AWS: Your complete guide to Amazon Web Services & features
1 February 2020, TechRadar India

Amazon DocumentDB Speeds Up With Slow Queries Logging
20 August 2019, Computer Business Review

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

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27 January 2020, iProgrammer

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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
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