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

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Table Storage  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 datasetsA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Wide column storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#119  Overall
#6  Graph DBMS
#4  RDF stores
Score1.16
Rank#139  Overall
#8  Graph DBMS
#5  RDF stores
Score4.85
Rank#63  Overall
#5  Wide column stores
Score0.06
Rank#312  Overall
#42  Document stores
#17  Object oriented DBMS
Websiteaws.amazon.com/­neptunegraphdb.ontotext.comazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgraphdb.ontotext.com/­documentationorigodb.com/­docs
DeveloperAmazonOntotextMicrosoftRobert Friberg et al
Initial release2017200020122009 infounder the name LiveDB
Current release8.8, January 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source
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#
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
hostedLinux
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesUser 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.nononono infocan be achieved using .NET
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLnoSPARQL is used as query languagenono
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 API.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
.Net
Server-side scripts infoStored proceduresnoJava Server Pluginnoyes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicehorizontal 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 replication
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 Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoConstraint checkingnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 signaturesRole based authorization
More information provided by the system vendor
Amazon NeptuneGraphDB infoformer name: OWLIMMicrosoft Azure Table StorageOrigoDB
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

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
2 April 2020

Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications
19 March 2020

How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 
6 March 2020

Crafting a Knowledge Graph: The Semantic Data Modeling Way
20 February 2020

How Computer Vision Technology Can Bring Smart Surveillance to Retail    
6 February 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon NeptuneGraphDB infoformer name: OWLIMMicrosoft Azure Table StorageOrigoDB
Conferences and events

GraphDB 9.1: Knowledge Graphs with Data Provenance
Webinar, 2 March 2020 (finished)

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

Recent citations in the news

This map shows how the most innovative companies are using knowledge graphs
27 March 2020, Thinknum Media

Catching up with Amazon Neptune
26 November 2019, ZDNet

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

AWS Announces General Availability of Amazon Neptune
30 May 2018, Business Wire

Looking under the hood at Amazon Neptune
5 April 2018, ZDNet

provided by Google News

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB Goes Open Source
27 January 2020, iProgrammer

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
13 June 2019, Yahoo Finance

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

provided by Google News

Top Analytics Job Openings in India At The Moment
17 March 2020, Analytics India Magazine

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

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

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

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

provided by Google News

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

provided by Google News

Job opportunities

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