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DBMS > Adabas vs. FatDB vs. Graph Engine vs. SQL.JS vs. SWC-DB

System Properties Comparison Adabas vs. FatDB vs. Graph Engine vs. SQL.JS vs. SWC-DB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonFatDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSQL.JS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginePort of SQLite to JavaScriptA high performance, scalable Wide Column DBMS
Primary database modelMultivalue DBMSDocument store
Key-value store
Graph DBMS
Key-value store
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iosql.js.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.graphengine.io/­docs/­manualsql.js.org/­documentation/­index.html
DeveloperSoftware AGFatCloudMicrosoftAlon Zakai infoenhancements implemented by othersAlex Kashirin
Initial release19712012201020122020
Current release0.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#.NET and CJavaScriptC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Windows.NETserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-freeyesyesschema-free
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.nononono
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayno infoVia inetgration in SQL Servernoyes infoSQL-92 is not fully supportedSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIJavaScript APIProprietary protocol
Thrift
Supported programming languagesNaturalC#C#
C++
F#
Visual Basic
JavaScriptC++
Server-side scripts infoStored proceduresin Naturalyes infovia applicationsyesnono
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)no infoCan implement custom security layer via applicationsno

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More resources
Adabas infodenotes "adaptable data base"FatDBGraph Engine infoformer name: TrinitySQL.JSSWC-DB infoSuper Wide Column Database
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