DBMS > Splunk vs. STSdb vs. Ultipa

System Properties Comparison Splunk vs. STSdb vs. Ultipa

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Editorial information provided by DB-Engines

Name

Description

Analytics Platform for Big Data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Search engine

Key-value store

Graph DBMS

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

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Website

www.splunk.com

github.com/STSSoft/STSdb4

www.ultipa.com

Technical documentation

docs.splunk.com/Documentation/Splunk

www.ultipa.com/document

Developer

Splunk Inc.

STS Soft SC

Ultipa

Initial release

2003

2011

2019

Current release

4.0.8, September 2015

License

Commercial or Open Source

commercial

Limited free edition and free developer edition available

Open Source

GPLv2, commercial license available

commercial

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

Server operating systems

Linux
OS X
Solaris
Windows

Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

Splunk Search Processing Language for search commands

APIs and other access methods

HTTP REST

.NET Client API

RESTful HTTP API

Supported programming languages

C#
Java
JavaScript
PHP
Python
Ruby

C#
Java

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

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.

User concepts

Access control

Access rights for users and roles

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More resources

DB-Engines blog posts

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

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Recent citations in the news

High-performance computing's role in real-time graph analytics - DataScienceCentral.com
30 January 2024, Data Science Central

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