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DBMS > EsgynDB vs. GraphDB vs. Riak KV

System Properties Comparison EsgynDB vs. GraphDB vs. Riak KV

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportDistributed, fault tolerant key-value store
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#264  Overall
#124  Relational DBMS
Score1.13
Rank#141  Overall
#8  Graph DBMS
#5  RDF stores
Score5.67
Rank#57  Overall
#9  Key-value stores
Websiteesgyn.comgraphdb.ontotext.combasho.com/­products/­riak-kv
Technical documentationesgyn.com/­developersgraphdb.ontotext.com/­documentation
DeveloperEsgynOntotextBasho Technologies
Initial release201520002009
Current release8.8, January 20192.1.0, April 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenono 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 languageC++, JavaJavaErlang
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesrestricted
SQL infoSupport of SQLyesSPARQL is used as query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJava Stored ProceduresJava Server PluginJavaScript and Erlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-master replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Foreign keys infoReferential integrityyesyes infoConstraint checkingno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
EsgynDBGraphDB infoformer name: OWLIMRiak KV
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
BBC, 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 modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

Semantic Technology and the Strive for Drug Safety
21 October 2019

Artificial Intelligence and the Knowledge Graph
10 October 2019

Semantic Technology-based Media Publishing Boosts User Engagement
26 September 2019

Semantic Search or Knowing Your Customers So Well, You Can Finish Their Sentences For Them
10 September 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

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More resources
EsgynDBGraphDB infoformer name: OWLIMRiak KV
Recent citations in the news

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

GraphQL And The Rise of Universal Data Access
28 October 2019, Forbes

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

provided by Google News

Is Riak A Good NoSQL Database Option?
1 July 2019, Analytics India Magazine

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Basho, Maker of Riak NoSQL Database, Raises $25M
13 January 2015, Data Center Knowledge

Basho's database downfall highlights danger of bringing too-niche tech to market
10 July 2018, TechRepublic

NoSQL database Riak acquired following Basho’s fall from grace
13 September 2017, Computer Business Review

provided by Google News

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