DBMS > Adabas vs. Kinetica vs. Microsoft SQL Server

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

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Editorial information provided by DB-Engines

Name

Description

OLTP - DBMS for mainframes and Linux/Unix/Windows environments info

used typically together with the Natural programming platform

GPU-accelerated database for real-time analysis of large and streaming datasets

Microsofts relational DBMS

Primary database model

Multivalue DBMS

Relational DBMS

Secondary database models

Document store
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Score	4.65
Rank	#73	Overall
	#1	Multivalue DBMS

Score	0.67
Rank	#196	Overall
	#94	Relational DBMS

Score	1059.72
Rank	#3	Overall
	#3	Relational DBMS

Website

www.softwareag.com/corporate/products/adabas_natural/adabas/default.html

www.kinetica.com

www.microsoft.com/en-us/sql-server

Technical documentation

www.kinetica.com/docs

docs.microsoft.com/en-ie/sql/sql-server/sql-server-technical-documentation

Developer

Software AG

Kinetica

Microsoft

Initial release

1971

2012

1989

Current release

6.0

SQL Server 2019, November 2019

License

Commercial or Open Source

commercial

commercial info

restricted free version is available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C, C++

C++

Server operating systems

BS2000
Linux
Unix
Windows
z/OS
z/VSE

Linux

Linux
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with add-on product Adabas SQL Gateway

SQL-like DML and DDL statements

yes

APIs and other access methods

HTTP API

with add-on software Adabas SOA Gateway
SOAP-based API info

with add-on software Adabas SOA Gateway

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

Supported programming languages

Natural

C++
Java
JavaScript (Node.js)
Python

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

Server-side scripts info

Stored procedures

in Natural

user defined functions

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods info

Methods for storing different data on different nodes

yes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vista

Sharding

tables can be distributed across several files (horizontal partitioning); sharding through federation

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, with add-on product Event Replicator

Master-slave replication

yes, but depending on the SQL-Server Edition

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

GPU vRAM or System RAM

yes

User concepts info

Access control

only with OS-specific tools (e.g. IBM RACF, CA Top Secret)

Access rights for users and roles on table level

fine grained access rights according to SQL-standard

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