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DBMS > Amazon Neptune vs. GraphDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. OrigoDB

System Properties Comparison Amazon Neptune vs. GraphDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Wide column storeRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.96
Rank#115  Overall
#6  Graph DBMS
#4  RDF stores
Score1.14
Rank#143  Overall
#9  Graph DBMS
#5  RDF stores
Score4.86
Rank#65  Overall
#5  Wide column stores
Score3.80
Rank#79  Overall
#41  Relational DBMS
Score0.06
Rank#309  Overall
#41  Document stores
#16  Object oriented DBMS
Websiteaws.amazon.com/­neptunegraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgeorigodb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgraphdb.ontotext.com/­documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docs
DeveloperAmazonOntotextMicrosoftProgress Software CorporationRobert Friberg et al
Initial release20172000201219842009 infounder the name LiveDB
Current release8.8, January 2019OpenEdge 11.7, March 2017
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesno 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#
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.nonononono infocan be achieved using .NET
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes infoclose to SQL 92no
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Server-side scripts infoStored proceduresnoJava Server Pluginnoyesyes
Triggersnononoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasMaster-master replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoConstraint checkingnoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights based on private key authentication or shared access signaturesUsers and groupsRole based authorization
More information provided by the system vendor
Amazon NeptuneGraphDB infoformer name: OWLIMMicrosoft Azure Table StorageOpenEdgeOrigoDB
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
News

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

A New Hope: The Rise of the Knowledge Graph
6 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

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon NeptuneGraphDB infoformer name: OWLIMMicrosoft Azure Table StorageOpenEdgeOrigoDB
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

Catching up with Amazon Neptune
26 November 2019, ZDNet

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

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

GraphDB Goes Open Source
27 January 2020, iProgrammer

Whaddya mean, 'niche'?! Neo4j's chief scientist schools El Reg on graph databases
5 February 2020, The Register

provided by Google 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 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

provided by Google News

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Get to know Microsoft Azure Cosmos DB use cases
11 November 2019, TechTarget

Azure Improves Table Storage Paging
14 October 2014, Visual Studio Magazine

Writing server-side code in Azure Cosmos DB
30 April 2019, InfoWorld

provided by Google News

Industry Spotlight: Extracting data from inside the app
1 June 2017, SDTimes.com

SQL vs. NoSQL vs. NewSQL: Finding the Right Solution
17 August 2015, Dataconomy

provided by Google News

SuperSocket: Making Socket Programming in .NET Simpler
8 October 2014, InfoQ.com

provided by Google News

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