DBMS > Datomic vs. IBM Db2

System Properties Comparison Datomic vs. IBM Db2

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Our visitors often compare Datomic and IBM Db2 with PostgreSQL, MongoDB and Amazon DynamoDB.

Editorial information provided by DB-Engines

Name

Description

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

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

Primary database model

Relational DBMS

Relational DBMS info

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

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

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Score	3.13
Rank	#100	Overall
	#50	Relational DBMS

Score	161.90
Rank	#6	Overall
	#5	Relational DBMS

Website

www.datomic.com

www.ibm.com/analytics/db2

Technical documentation

docs.datomic.com

www.ibm.com/support/knowledgecenter/SSEPGG

Developer

Cognitect

IBM

Initial release

2012

1983

host version

Current release

0.9.5951, July 2019

12.1, October 2016

License

Commercial or Open Source

commercial info

limited edition free

commercial info

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, Clojure

C and C++

Server operating systems

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows
z/OS

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

Supported programming languages

Clojure
Java

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

Server-side scripts info

Stored procedures

yes

Transaction Functions

yes

Triggers

By using transaction functions

yes

Partitioning methods info

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

Sharding

only with Windows/Unix/Linux Version

Replication methods info

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

yes

with separate tools (MQ, InfoSphere)

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

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities info

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

yes

recommended only for testing and development

User concepts info

Access control

fine grained access rights according to SQL-standard

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