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DBMS > Adabas vs. Graph Engine vs. Spark SQL vs. SQL.JS vs. VelocityDB

System Properties Comparison Adabas vs. Graph Engine vs. Spark SQL vs. SQL.JS vs. VelocityDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpark SQL is a component on top of 'Spark Core' for structured data processingPort of SQLite to JavaScriptA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iospark.apache.org/­sqlsql.js.orgvelocitydb.com
Technical documentationwww.graphengine.io/­docs/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.htmlvelocitydb.com/­UserGuide
DeveloperSoftware AGMicrosoftApache Software FoundationAlon Zakai infoenhancements implemented by othersVelocityDB Inc
Initial release19712010201420122011
Current release3.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CScalaJavaScriptC#
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Any that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIJDBC
ODBC
JavaScript API.Net
Supported programming languagesNaturalC#
C++
F#
Visual Basic
Java
Python
R
Scala
JavaScript.Net
Server-side scripts infoStored proceduresin Naturalyesnonono
TriggersnonononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesno 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.noyesnoyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nonoBased on Windows Authentication

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More resources
Adabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinitySpark SQLSQL.JSVelocityDB
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