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DBMS > EsgynDB vs. GraphDB vs. Hive vs. IBM Db2 warehouse

System Properties Comparison EsgynDB vs. GraphDB vs. Hive vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEnterprise-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.data warehouse software for querying and managing large distributed datasets, built on HadoopCloud-based data warehousing service
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Websitewww.esgyn.cnwww.ontotext.comhive.apache.orgwww.ibm.com/­products/­db2/­warehouse
Technical documentationgraphdb.ontotext.com/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperEsgynOntotextApache Software Foundation infoinitially developed by FacebookIBM
Initial release2015200020122014
Current release10.4, October 20233.1.3, April 2022
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJava
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
All OS with a Java VMhosted
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored Procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes infouser defined functions and integration of map-reducePL/SQL, SQL PL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDefault 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, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBGraphDB infoformer name: OWLIMHiveIBM Db2 warehouse infoformerly named IBM dashDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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EsgynDBGraphDB infoformer name: OWLIMHiveIBM Db2 warehouse infoformerly named IBM dashDB
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