DBMS > IBM Db2 vs. MarkLogic vs. Splunk

System Properties Comparison IBM Db2 vs. MarkLogic vs. Splunk

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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

Operational and transactional Enterprise NoSQL database

Analytics Platform for Big Data

Primary database model

Relational DBMS info

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

Document store
Native XML DBMS
RDF store info

as of version 7
Search engine

Search engine

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	12.47
Rank	#38	Overall
	#6	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#4	Search engines

Score	90.53
Rank	#12	Overall
	#2	Search engines

Website

www.ibm.com/analytics/db2

www.marklogic.com

www.splunk.com

Technical documentation

www.ibm.com/support/knowledgecenter/SSEPGG

docs.marklogic.com

docs.splunk.com/Documentation/Splunk

Developer

IBM

MarkLogic Corp.

Splunk Inc.

Initial release

1983

host version

2001

2003

Current release

12.1, October 2016

9.0, 2017

License

Commercial or Open Source

commercial info

free version is available

commercial info

restricted free version is available

commercial info

Limited free edition and free developer edition 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++

C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
OS X
Windows

Linux
OS X
Solaris
Windows

Data scheme

yes

schema-free info

Schema can be enforced

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

SQL92

Splunk Search Processing Language for search commands

APIs and other access methods

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

Java API
Node.js Client API
ODBC
proprietary Optic API info

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

HTTP REST

Supported programming languages

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

C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts info

Stored procedures

yes

via XQuery or JavaScript

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

yes

Master-master replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

can act as a resource manager in an XA/JTA transaction

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

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, with Range Indexes

User concepts info

Access control

fine grained access rights according to SQL-standard

Role-based access control at the document and subdocument levels

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more

Competitive advantages

The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more

Typical application scenarios

MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more

Key customers

MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more

Market metrics

MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more

Licensing and pricing models

MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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