DBMS > MongoDB vs. RethinkDB vs. VelocityDB

System Properties Comparison MongoDB vs. RethinkDB vs. VelocityDB

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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

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Document store

Graph DBMS
Object oriented DBMS

Secondary database models

Search engine

integrated Lucene index, currently in MongoDB Atlas only.

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

Score	462.39
Rank	#5	Overall
	#1	Document stores

Score	3.66
Rank	#83	Overall
	#14	Document stores

Score	0.08
Rank	#305	Overall
	#30	Graph DBMS
	#17	Object oriented DBMS

Website

www.mongodb.com

rethinkdb.com

velocitydb.com

Technical documentation

docs.mongodb.com/manual

rethinkdb.com/docs

velocitydb.com/UserGuide

Developer

MongoDB, Inc

The Linux Foundation

since July 2017

VelocityDB Inc

Initial release

2009

2011

Current release

4.4.4 , February 2021

2.4.1, August 2020

7.x

License

Commercial or Open Source

Open Source

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

Open Source

Apache Version 2

commercial

Cloud-based only

Only available as a cloud service

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links)

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++

Server operating systems

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Any that supports .NET

Data scheme

schema-free

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.

schema-free

yes

Typing

predefined data types such as float or date

yes

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

yes

string, binary, float, bool, date, geometry

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.

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

.Net

Supported programming languages

Actionscript

unofficial driver
C
C#
C++
Clojure

unofficial driver
ColdFusion

unofficial driver
D

unofficial driver
Dart

unofficial driver
Delphi

unofficial driver
Erlang
Go
Groovy

unofficial driver
Haskell
Java
JavaScript
Lisp

unofficial driver
Lua

unofficial driver
MatLab

unofficial driver
Perl
PHP
PowerShell

unofficial driver
Prolog

unofficial driver
Python
R

unofficial driver
Ruby
Rust
Scala
Smalltalk

unofficial driver
Swift

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

.Net

Server-side scripts

Stored procedures

JavaScript

Triggers

yes

in MongoDB Atlas only

Client-side triggers through changefeeds

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

partitioned by hashed, ranged, or zoned sharding keys

Sharding

range based

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts

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

Multi-document ACID Transactions with snapshot isolation

Atomic single-document operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

yes

Durability

Support for making data persistent

yes

optional

yes

In-memory capabilities

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

Access control

Access rights for users and roles

yes

users and table-level permissions

Based on Windows Authentication

More information provided by the system vendor

Specific characteristics

MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more

Competitive advantages

The MongoDB platform can be used by developers building transactional, operational,...
» more

Typical application scenarios

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

Key customers

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more

Market metrics

125 million downloads (growing at more than 30 thousand downloads per day), over...
» more

Licensing and pricing models

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

Studio 3T: The world's favorite IDE for working with MongoDB
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DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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Datadog: Visualize all your MongoDB metrics.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

ClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

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Recent citations in the news

How Atlas Could Help MongoDB Grow Its Database Business
17 February 2021, Motley Fool

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26 February 2021, Developer Tech

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