DBMS > Amazon DocumentDB vs. Amazon DynamoDB

System Properties Comparison Amazon DocumentDB vs. Amazon DynamoDB

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Our visitors often compare Amazon DocumentDB and Amazon DynamoDB with MongoDB, Microsoft Azure Cosmos DB and Elasticsearch.

Editorial information provided by DB-Engines

Name

Description

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

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

Primary database model

Document store

Document store
Key-value store

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

Score	0.47
Rank	#204	Overall
	#28	Document stores

Score	55.93
Rank	#19	Overall
	#2	Document stores
	#2	Key-value stores

Website

aws.amazon.com/documentdb

aws.amazon.com/dynamodb

Technical documentation

aws.amazon.com/documentdb/resources

docs.aws.amazon.com/dynamodb

Developer

Amazon

Initial release

2019

2012

License

Commercial or Open Source

commercial

commercial info

free tier for a limited amount of database operations

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Server operating systems

hosted

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

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.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

RESTful HTTP API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Server-side scripts info

Stored procedures

Triggers

yes

by integration with AWS Lambda

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency info

can be specified for read operations

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

Atomic single-document operations

ACID

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

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

User concepts info

Access control

Access rights for users and roles

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

More information provided by the system vendor

Specific characteristics

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond...
» more

Competitive advantages

PERFORMANCE AT SCALE DynamoDB supports some of the world’s largest scale applications...
» more

Typical application scenarios

Serverless web applications Build powerful web applications that automatically scale...
» more

Key customers

Nike Digital migrated their large clusters of Cassandra to a fully managed Amazon...
» more

Market metrics

According to DB-Engines' ranking , Amazon DynamoDB is the most popular fully managed...
» more

Licensing and pricing models

DynamoDB charges for reading, writing, and storing data in your DynamoDB tables,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.