DBMS > H2 vs. IBM Db2 vs. Microsoft SQL Server

System Properties Comparison H2 vs. IBM Db2 vs. Microsoft SQL Server

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

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

Microsofts relational DBMS

Primary database model

Relational DBMS

Relational DBMS info

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

Relational DBMS

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

Document store
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Score	8.35
Rank	#50	Overall
	#29	Relational DBMS

Score	161.90
Rank	#6	Overall
	#5	Relational DBMS

Score	1043.12
Rank	#3	Overall
	#3	Relational DBMS

Website

www.h2database.com

www.ibm.com/analytics/db2

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

Technical documentation

www.h2database.com/html/main.html

www.ibm.com/support/knowledgecenter/SSEPGG

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

Developer

Thomas Mueller

IBM

Microsoft

Initial release

2005

1983

host version

1989

Current release

1.4.200, October 2019

12.1, October 2016

SQL Server 2019, November 2019

License

Commercial or Open Source

Open Source info

dual-licence (Mozilla public license, Eclipse public license)

commercial info

free version is available

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

Java

C and C++

C++

Server operating systems

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows
z/OS

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

APIs and other access methods

JDBC
ODBC

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

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

Supported programming languages

Java

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

Server-side scripts info

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

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

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

only with Windows/Unix/Linux Version

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

Replication methods info

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

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, multi-version concurrency control (MVCC)

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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