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DBMS > Adabas vs. Microsoft SQL Server vs. Spark SQL

System Properties Comparison Adabas vs. Microsoft SQL Server vs. Spark SQL

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMicrosofts relational DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.16
Rank#69  Overall
#1  Multivalue DBMS
Score1094.72
Rank#3  Overall
#3  Relational DBMS
Score16.10
Rank#35  Overall
#21  Relational DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.microsoft.com/­en-us/­sql-serverspark.apache.org/­sql
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftware AGMicrosoftApache Software Foundation
Initial release197119892014
Current releaseSQL Server 2017, October 2017v2.4.4, September 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesNaturalC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresin NaturalTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistatables can be distributed across several files (horizontal partitioning); sharding through federationyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardno

More information provided by the system vendor

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Adabas infodenotes "adaptable data base"Microsoft SQL ServerSpark SQL
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Conferences and events

PASS Summit 2019
Seattle, Washington, USA, 5-8 November 2019

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019 (finished)

Recent citations in the news

Software AG: Q3 Due On October 22 - Wait For A Further Pullback
15 October 2019, Seeking Alpha

Software AG Announces New “Adabas & Natural 2050” Agenda
31 August 2016, Business Wire

JPMorgan Chase & Co. Reiterates €26.00 Price Target for Software (ETR:SOW)
13 October 2019, Riverton Roll

Software (ETR:SOW) Given a €26.00 Price Target at JPMorgan Chase & Co.
5 October 2019, Riverton Roll

Software AG (OTCMKTS:STWRY) Receives Consensus Recommendation of “Hold” from Brokerages
11 October 2019, TechNewsObserver

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Microsoft Expands IoT And Edge Computing Portfolio With Windows And SQL Server
16 October 2019, Forbes

SQL Server takes a turn towards Kubernetes and big data
30 September 2019, TechRepublic

Accelerating Database Recovery with SQL Server 2019
14 October 2019, Database Journal

Why SQL Server 2008's End of Life Should Be on Feds' Minds
18 September 2019, FedTech Magazine

Benefit from SQL VM Resource Provider when self-installing SQL Server on Azure - Microsoft
3 October 2019, Channel 9

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Delta Lake Project Raises Linux Foundation Flag
17 October 2019, SDxCentral

Databricks introduces MLflow Model Registry, brings Delta Lake to Linux Foundation
16 October 2019, ZDNet

Spark vs Hadoop: Which Big Data Framework Will Elevate Your Business?
23 September 2019, Appinventiv

DataRobot launches AI Catalog to enable enterprise team collaboration
30 September 2019, VentureBeat

Introducing Weld, a runtime written in Rust and LLVM for cross-library optimizations
24 September 2019, Packt Hub

provided by Google News

Job opportunities

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