DBMS > RRDtool vs. SpatiaLite vs. Splunk vs. SQL.JS

System Properties Comparison RRDtool vs. SpatiaLite vs. Splunk vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

Spatial extension of SQLite

Analytics Platform for Big Data

Port of SQLite to JavaScript

Primary database model

Secondary database models

Relational DBMS

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

Score	1.90
Rank	#132	Overall
	#11	Time Series DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

oss.oetiker.ch/rrdtool

www.gaia-gis.it/fossil/libspatialite/index

www.splunk.com

sql.js.org

Technical documentation

oss.oetiker.ch/rrdtool/doc

www.gaia-gis.it/gaia-sins/spatialite_topics.html

docs.splunk.com/Documentation/Splunk

sql.js.org/documentation/index.html

Developer

Tobias Oetiker

Alessandro Furieri

Splunk Inc.

Alon Zakai

enhancements implemented by others

Initial release

1999

2008

2003

2012

Current release

1.8.0, 2022

5.0.0, August 2020

License

Commercial or Open Source

Open Source

GPL V2 and FLOSS

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

commercial

Limited free edition and free developer edition available

Open Source

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

Implementations in Java (e.g. RRD4J) and C# available

C++

JavaScript

Server operating systems

HP-UX
Linux

server-less

Linux
OS X
Solaris
Windows

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

Typing

predefined data types such as float or date

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.

Exporting into and restoring from XML files possible

yes

Secondary indexes

yes

SQL

Support of SQL

yes

Splunk Search Processing Language for search commands

yes

SQL-92 is not fully supported

APIs and other access methods

in-process shared library
Pipes

HTTP REST

JavaScript API

Supported programming languages

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

C#
Java
JavaScript
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

none

Eventual Consistency

none

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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

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New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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