DBMS > IBM Db2 vs. Microsoft SQL Server vs. VelocityDB

System Properties Comparison IBM Db2 vs. Microsoft SQL Server vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

Common in IBM host environments, 2 different versions for host and Windows/Linux

Microsofts relational DBMS

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Relational DBMS info

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Relational DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

Document store
Graph DBMS

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

Score	161.24
Rank	#6	Overall
	#5	Relational DBMS

Score	1062.76
Rank	#3	Overall
	#3	Relational DBMS

Score	0.11
Rank	#299	Overall
	#28	Graph DBMS
	#16	Object oriented DBMS

Website

www.ibm.com/analytics/db2

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

velocitydb.com

Technical documentation

www.ibm.com/support/knowledgecenter/SSEPGG

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

velocitydb.com/UserGuide

Developer

IBM

Microsoft

VelocityDB Inc

Initial release

1983

host version

1989

2011

Current release

12.1, October 2016

SQL Server 2019, November 2019

7.x

License

Commercial or Open Source

commercial info

free version is available

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 and C++

C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
Windows

Any that supports .NET

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
JSON style queries info

MongoDB compatible
ODBC
XQuery

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

.Net

Supported programming languages

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

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

.Net

Server-side scripts info

Stored procedures

yes

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

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

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

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

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

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

Based on Windows Authentication

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