DBMS > MongoDB vs. RRDtool

System Properties Comparison MongoDB vs. RRDtool

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Editorial information provided by DB-Engines

Name

Description

One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure

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

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

Primary database model

Document store

Time Series DBMS

Secondary database models

Search engine info

integrated Lucene index, currently in MongoDB Atlas only.

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

Score	446.48
Rank	#5	Overall
	#1	Document stores

Score	3.05
Rank	#97	Overall
	#5	Time Series DBMS

Website

www.mongodb.com

oss.oetiker.ch/rrdtool

Technical documentation

docs.mongodb.com/manual

oss.oetiker.ch/rrdtool/doc

Developer

MongoDB, Inc

Tobias Oetiker

Initial release

2009

1999

Current release

4.4.1, September 2020

1.7.2, May 2019

License

Commercial or Open Source

Open Source info

MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.

Open Source info

GPL V2 and FLOSS

Cloud-based only info

Only available as a cloud service

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links) info

Database as a Service

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

ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.

Implementation language

C++

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

Server operating systems

Linux
OS X
Solaris
Windows

HP-UX
Linux

Data scheme

schema-free info

Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.

yes

Typing

predefined data types such as float or date

yes

string, integer, double, decimal, boolean, date, object_id, geospatial

Numeric data only

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.

Exporting into and restoring from XML files possible

Secondary indexes

yes

SQL

Support of SQL

Read-only SQL queries via the MongoDB Connector for BI

APIs and other access methods

proprietary protocol using JSON

in-process shared library
Pipes

Supported programming languages

Actionscript info

inofficial driver
C
C#
C++
Clojure info

inofficial driver
ColdFusion info

inofficial driver
D info

inofficial driver
Dart info

inofficial driver
Delphi info

inofficial driver
Erlang
Go
Groovy info

inofficial driver
Haskell
Java
JavaScript
Lisp info

inofficial driver
Lua info

inofficial driver
MatLab info

inofficial driver
Perl
PHP
PowerShell info

inofficial driver
Prolog info

inofficial driver
Python
R info

inofficial driver
Ruby
Rust
Scala
Smalltalk info

inofficial driver
Swift

with librrd library
C# info

with a different implementation of RRDTool
Java info

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

with a different implementation of RRDTool
Lua
Perl
PHP info

with a wrapper library
Python
Ruby

Server-side scripts info

Stored procedures

JavaScript

Triggers

yes

in MongoDB Atlas only

Partitioning methods info

Methods for storing different data on different nodes

Sharding

partitioned by hashed, ranged, or zoned sharding keys

none

Replication methods info

Methods for redundantly storing data on multiple nodes

Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

none

Foreign keys info

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts info

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

Multi-document ACID Transactions with snapshot isolation

Concurrency info

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

Durability info

Support for making data persistent

yes

optional

yes

In-memory capabilities info

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

yes

In-memory storage engine introduced with MongoDB version 3.2

yes

User concepts info

Access control

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

MongoDB is the leading modern, general purpose data platform, designed to unleash...
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Competitive advantages

The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenarios

Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
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Key customers

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metrics

125 million downloads (growing at more than 30 thousand downloads per day), over...
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Licensing and pricing models

MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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