DBMS > Amazon DynamoDB vs. MongoDB vs. Redis

System Properties Comparison Amazon DynamoDB vs. MongoDB vs. Redis

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Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

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

In-memory data structure store, used as database, cache and message broker

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Document store
Key-value store

Document store

Key-value store

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Search engine

integrated Lucene index, currently in MongoDB Atlas only.

Document store

with Redis Modules
Graph DBMS

with Redis Modules
Search engine

with Redis Modules
Time Series DBMS

with Redis Modules

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

Score	69.14
Rank	#17	Overall
	#2	Document stores
	#2	Key-value stores

Score	458.95
Rank	#5	Overall
	#1	Document stores

Score	152.57
Rank	#7	Overall
	#1	Key-value stores

Website

aws.amazon.com/dynamodb

www.mongodb.com

redis.io

Technical documentation

docs.aws.amazon.com/dynamodb

docs.mongodb.com/manual

redis.io/documentation

Developer

Amazon

MongoDB, Inc

Salvatore Sanfilippo

Development sponsored by Redis Labs

Initial release

2012

2009

Current release

4.4.4 , February 2021

6.2.0 , February 2021

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

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

BSD 3-Clause, commercial license available

Cloud-based only

Only available as a cloud service

yes

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.

ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Redis Enterprise Cloud: Instantly scale and pay only for the resources you need - on any cloud - AWS, Azure or Google Cloud.

Implementation language

C++

Server operating systems

hosted

Linux
OS X
Solaris
Windows

BSD
Linux
OS X
Windows

ported and maintained by Microsoft Open Technologies, Inc.

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

Typing

predefined data types such as float or date

yes

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

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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

with RediSearch module

SQL

Support of SQL

Read-only SQL queries via the MongoDB Connector for BI

APIs and other access methods

RESTful HTTP API

proprietary protocol using JSON

proprietary protocol

RESP - REdis Serialization Protocol

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

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

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts

Stored procedures

JavaScript

Lua

Triggers

yes

by integration with AWS Lambda

yes

in MongoDB Atlas only

Partitioning methods

Methods for storing different data on different nodes

Sharding

partitioned by hashed, ranged, or zoned sharding keys

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Multi-source replication

with Redis Enterprise Pack
Source-replica replication

Chained replication is supported

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Eventual Consistency
Strong eventual consistency with CRDTs

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

ACID

ACID across one or more tables within a single AWS account and region

Multi-document ACID Transactions with snapshot isolation

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

optional

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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 can be defined via the AWS Identity and Access Management (IAM)

Access rights for users and roles

Simple password-based access control

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

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

Redis, benchmarked as the world's fastest database, reduces application complexity,...
» more

Competitive advantages

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

Redis is an in-memory database platform offering native support of wide range of...
» more

Typical application scenarios

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

Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more

Key customers

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

Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» 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

The licensing model is subscription based. Redis Enterprise Cloud is priced according...
» 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

CData: Connect to Big Data & NoSQL through standard Drivers.
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Datadog: Visualize all your MongoDB metrics.
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Studio 3T: The world's favorite IDE for working with MongoDB
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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CData: Connect to Big Data & NoSQL through standard Drivers.
» more

ClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
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CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Redis Enterprise Cloud: Try with 400$ usage credit.
» more

Datadog: Monitor all Redis metrics: hit rates, clients, commands per second, and more.
» more

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

More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
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PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

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PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

NoSQL Database Market Tranquil Achievement by Players: DynamoDB, ObjectLabs Corporation, Skyll, MarkLogic – KSU | The Sentinel Newspaper
25 February 2021, KSU | The Sentinel Newspaper

Global NoSQL Database Market 2025: DynamoDB, ObjectLabs Corporation, Skyll, MarkLogic, InfiniteGraph, Oracle, MapR Technologies, he Apache Software Foundation, Basho Technologies, Aerospike
24 February 2021, The Bisouv Network

The 8 Best AWS Courses on Coursera to Consider for 2021
23 February 2021, Solutions Review Enterprise Cloud

Learn from these real-world AWS serverless examples
28 January 2021, TechTarget

Global NoSQL Database Market Market 2025: DynamoDB, ObjectLabs Corporation, Skyll, MarkLogic, InfiniteGraph, Oracle, MapR Technologies, he Apache Software Foundation, Basho Technologies, Aerospike
13 February 2021, NeighborWebSJ

provided by Google News

Google Cloud, MongoDB Take Their Alliance To The Next Level
25 February 2021, CRN

MongoDB deepens Google Cloud partnership with new Atlas integrations
26 February 2021, Developer Tech

Schema Performance Tuning in MongoDB
25 February 2021, JAXenter

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

Building An Enterprise Software Company: Tips For Founders From Dev Ittycheria, CEO Of MongoDB
25 February 2021, Forbes

provided by Google News

Redis Labs Unveils RediSearch 2.0 Full-Text Search Engine
25 February 2021, Solutions Review

Scale your cloud app with Azure Cache for Redis | Azure Friday - Microsoft
5 February 2021, Channel 9

Redis Labs Delivers Real-Time Query, Index, and Full-Text Search Engine with RediSearch 2.0
18 February 2021, Business Wire

Open-Source Database Software Market Next Big Thing | Major Giants SQLite, Redis, Couchbase – NeighborWebSJ
23 February 2021, NeighborWebSJ

Cloud Database and Dbaas Market Sees Revenue Gain in 2021 in Fight for Market Share – Google, Microsoft, AWS, IBM, Oracle, Alibaba Cloud, SAP, MongoDB, EnterpriseDB, Redis Labs, Tencent, Rackspace, Teradata
26 February 2021, NeighborWebSJ

provided by Google News

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