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DBMS > Adabas vs. GraphDB vs. Sphinx vs. SQL.JS

System Properties Comparison Adabas vs. GraphDB vs. Sphinx vs. SQL.JS

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformEnterprise-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.Open source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.ontotext.comsphinxsearch.comsql.js.org
Technical documentationgraphdb.ontotext.com/­documentationsphinxsearch.com/­docssql.js.org/­documentation/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSoftware AGOntotextSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release1971200020012012
Current release10.4, October 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Proprietary protocolJavaScript API
Supported programming languagesNatural.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresin Naturalwell-defined plugin interfaces; JavaScript server-side extensibilitynono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationnonenone
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)none
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Default 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.nono
More information provided by the system vendor
Adabas infodenotes "adaptable data base"GraphDB infoformer name: OWLIMSphinxSQL.JS
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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