DBMS > IBM Db2 vs. Memgraph vs. OpenQM

System Properties Comparison IBM Db2 vs. Memgraph vs. OpenQM

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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

A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Relational DBMS info

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

Graph DBMS

Multivalue DBMS

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

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

Score	171.35
Rank	#6	Overall
	#5	Relational DBMS

Score	0.05
Rank	#314	Overall
	#30	Graph DBMS

Score	0.27
Rank	#243	Overall
	#10	Multivalue DBMS

Website

www.ibm.com/analytics/db2

memgraph.com

www.openqm.com

Technical documentation

www.ibm.com/support/knowledgecenter/SSEPGG

docs.memgraph.com

www.openqm.com/support/documentation

Developer

IBM

Memgraph Ltd

Martin Phillips

Initial release

1983

host version

2017

1993

Current release

12.1, October 2016

3.4-12

License

Commercial or Open Source

commercial info

free version is available

commercial info

Free license available

Open Source info

GPLv2, extended commercial license 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

C and C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

yes

schema-free and schema-optional

yes

with some exceptions

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

Bolt protocol
Cypher query language

Supported programming languages

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

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts info

Stored procedures

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

Sharding

dynamic graph partitioning

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

Multi-Master replication using RAFT

yes

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

relationships in graphs

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

with snapshot isolation

ACID

Concurrency info

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability info

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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

Users, roles and permissions

Access rights can be defined down to the item level

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