DBMS > Microsoft SQL Server vs. Oracle vs. SAP HANA

System Properties Comparison Microsoft SQL Server vs. Oracle vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

Widely used RDBMS

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS

Document store
Graph DBMS info

with Oracle Spatial and Graph
RDF store info

with Oracle Spatial and Graph

Document store
Graph DBMS info

with SAP Hana, Enterprise Edition

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1037.64
Rank	#3	Overall
	#3	Relational DBMS

Score	1345.00
Rank	#1	Overall
	#1	Relational DBMS

Score	53.58
Rank	#19	Overall
	#13	Relational DBMS

Website

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

www.oracle.com/database

www.sap.com/products/hana.html

Technical documentation

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

docs.oracle.com/en/database

help.sap.com/hana

Developer

Microsoft

Oracle

SAP

Initial release

1989

1980

2010

Current release

SQL Server 2019, November 2019

19c, February 2019

2.0 SPS04 (April 5, 2019), April 2019

License

Commercial or Open Source

commercial info

restricted free version is available

commercial info

restricted free version is available

commercial

Cloud-based only info

Only available as a cloud service

also available as a cloud based 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
OS X
Solaris
Windows
z/OS

Appliance or cloud-service

Data scheme

yes

Schemaless in JSON and XML columns

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 proprietary extensions

yes

APIs and other access methods

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

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

JDBC
ODBC

Supported programming languages

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

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

Server-side scripts info

Stored procedures

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

PL/SQL

also stored procedures in Java possible

SQLScript, R

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 info

with the optional Oracle Partitioning

yes

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

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

can be realized in PL/SQL

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

isolation level can be parameterized

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

Version 12c introduced the new option 'Oracle Database In-Memory'

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

yes

More information provided by the system vendor

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