DBMS > IBM Db2 vs. Newts vs. Prometheus vs. SAP SQL Anywhere vs. Splunk

System Properties Comparison IBM Db2 vs. Newts vs. Prometheus vs. SAP SQL Anywhere vs. Splunk

Editorial information provided by DB-Engines

Name

Description

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

Time Series DBMS based on Cassandra

Open-source TimeSeries DBMS and monitoring system

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

Analytics Platform for Big Data

Primary database model

Relational DBMS

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

Time Series DBMS

Relational DBMS

Search engine

Secondary database models

Document store
RDF store

in DB2 LUW (Linux, Unix, Windows)

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

Score	157.17
Rank	#6	Overall
	#5	Relational DBMS

Score	0.00
Rank	#335	Overall
	#31	Time Series DBMS

Score	5.71
Rank	#64	Overall
	#3	Time Series DBMS

Score	6.30
Rank	#61	Overall
	#35	Relational DBMS

Score	87.66
Rank	#13	Overall
	#2	Search engines

Website

www.ibm.com/analytics/db2

opennms.github.io/newts

prometheus.io

www.sap.com/products/sql-anywhere.html

www.splunk.com

Technical documentation

www.ibm.com/support/knowledgecenter/SSEPGG

github.com/OpenNMS/newts/wiki

prometheus.io/docs

help.sap.com/sql-anywhere

docs.splunk.com/Documentation/Splunk

Developer

IBM

OpenNMS Group

SAP

formerly Sybase

Splunk Inc.

Initial release

1983

host version

2014

2015

1992

2003

Current release

12.1, October 2016

17, July 2015

License

Commercial or Open Source

commercial

free version is available

Open Source

Apache 2.0

Open Source

Apache 2.0

commercial

Limited free edition and free developer edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

Java

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
OS X
Windows

Linux
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

Linux
OS X
Solaris
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data only

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Import of XML data possible

yes

Secondary indexes

yes

SQL

Support of SQL

yes

Splunk Search Processing Language for search commands

APIs and other access methods

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

HTTP REST
Java API

RESTful HTTP/JSON API

ADO.NET
HTTP API
JDBC
ODBC

HTTP REST

Supported programming languages

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

Java

.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby

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

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

yes, in C/C++, Java, .Net or Perl

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

Sharding

based on Cassandra

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

selectable replication factor

based on Cassandra

yes

by Federation

Source-replica replication

Database mirroring

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

none

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

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