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DBMS > Adabas vs. Google Search Appliance vs. GraphDB vs. Realm

System Properties Comparison Adabas vs. Google Search Appliance vs. GraphDB vs. Realm

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelMultivalue DBMSSearch engineGraph DBMS
RDF store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.42
Rank#69  Overall
#1  Multivalue DBMS
Score2.77
Rank#94  Overall
#10  Search engines
Score1.13
Rank#141  Overall
#8  Graph DBMS
#5  RDF stores
Score7.97
Rank#45  Overall
#8  Document stores
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlenterprise.google.com/­search/­products/­gsa.htmlgraphdb.ontotext.comrealm.io
Technical documentationsupport.google.com/­gsagraphdb.ontotext.com/­documentationrealm.io/­docs
DeveloperSoftware AGGoogleOntotextRealm, acquired by MongoDB in May 2019
Initial release1971200220002014
Current release8.8, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenonono 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 languageJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSPARQL is used as query languageno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Administrative API
Browser interface
HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesNatural.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin NaturalJava Server Pluginno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMaster-slave replicationMaster-master replicationnone
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 integritynonoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)User authentication via various security protocolsyesyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Google Search ApplianceGraphDB infoformer name: OWLIMRealm
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Mobile Consumer Apps First-Line Worker Apps
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
Realm database is licensed under the Apache License v2.0.
» more
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26 September 2019

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10 September 2019

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

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