DBMS > Microsoft SQL Server vs. SAP Adaptive Server

System Properties Comparison Microsoft SQL Server vs. SAP Adaptive Server

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Our visitors often compare Microsoft SQL Server and SAP Adaptive Server with SAP HANA, Oracle and SAP SQL Anywhere.

Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

Primary database model

Relational DBMS

Secondary database models

Document store
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Score	1043.12
Rank	#3	Overall
	#3	Relational DBMS

Score	55.16
Rank	#18	Overall
	#12	Relational DBMS

Website

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

www.sap.com/products/sybase-ase.html

Technical documentation

docs.microsoft.com/en-US/sql/sql-server

help.sap.com/adaptive-server-enterprise

Developer

Microsoft

SAP, Sybase

Initial release

1989

1987

Current release

SQL Server 2019, November 2019

16.0

License

Commercial or Open Source

commercial info

restricted free version is available

commercial

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 and C++

Server operating systems

Linux
Windows

AIX
HP-UX
Linux
Solaris
Unix
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

APIs and other access methods

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

Supported programming languages

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

C
C++
Cobol
Java
Java
Perl
PHP
Python

Server-side scripts info

Stored procedures

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

Java and Transact-SQL

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

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

horizontal partitioning

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

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

User concepts info

Access control

fine grained access rights according to SQL-standard

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