Amazon DynamoDB vs Azure Cosmos DB

Microsoft SQL Server

MongoDB

Amazon RDS

DigitalOcean

Apache Cassandra

Google Cloud Bigtable

Compare Amazon DynamoDB and Azure Cosmos DB based on features, pricing, verified reviews, integrations & more on GetApp. Find out which software is best for your business in 2026.

DigitalOcean is a cloud management software designed to help businesses build and launch applications in cloud environments. Administrators can use the platform to set up application development frameworks, maintain product catalogs, and capture and store business data in a centralized repository.

Apache Cassandra is an open-source NoSQL database that helps businesses manage large amounts of data across multiple nodes, providing fast and reliable performance along with high availability.

Google Cloud Bigtable is a fully managed, highly scalable NoSQL database service for analytical and operational workloads. It offers high performance, low latency and guarantees strong consistency, low downtime and availability.

Amazon DynamoDB is a NoSQL database service, which helps businesses manage administrative workloads with its built-in security, data backup, recovery, and in-memory caching capabilities. The platform assists users with hardware provisioning, data replication, setup and configuration, and more.

Access Controls/Permissions

Backup and Recovery

Data Migration

Data Recovery

Data Replication

Data Storage Management

Data Virtualization

Database Conversion

Mobile Access

Multiple Programming Languages Supported

NOSQL Database Management

Performance Analysis

Secure Data Storage

Amazon DynamoDB

Web-based

Program Support I

I like how it provides you quick and easy access to data that you need to query. How it stores data in a way that even users without an IT background can quickly have a grasp into is a great thing.

Developer

So far has been good wrt to storing and retrieving data. It is secured and the time taken to retrieve is relatively faster.

web developer

Its ease of use, performance, and integration with other AWS services make it a top choice for many organizations. Just be aware of the costs associated with the service and plan accordingly.

Software developer

Easy to use, speed, compatibility, good documentation for integration, data security. Can easily be integrated with other software.

Senitor Software Engineer

It's not as flexible as MongoDB when it comes to indexes. Lack of stored procedures as in MongoDB.

The query structure seems to be a bit complicated for various fields. The expressions are limited and does not address all business requirements.

Lead Software Engineer

Lots of weird optimization tricks. AWS does not do a good job about letting you know if you accidentally use a reserved word (things just break).

Data Analytics Manager

Infinitely scalable but very limited for analytics.

Amazon DynamoDB screenshot

Large Enterprises

Mid Size Business

Non Profit

Small Business

AI demands adaptability. MongoDB offers flexible, scalable, AI-ready data solutions, eliminating friction and accelerating innovation.

Amazon RDS is a relational database service software designed to help users set up, operate and scale databases such as Amazon Aurora, MySQL, MariaDB, Oracle, Microsoft SQL Server, and PostgreSQL in the cloud. Users can manage routine database tasks like patching and provisioning, and more.

SQL Server is a relational database management system (RDMS) designed to help businesses of all sizes analyze structured or unstructured data across various data environments including Azure SQL Database, Azure Cosmos DB, MySQL, and more.

Azure Cosmos DB is a managed NoSQL database service designed to help organizations streamline business continuity by maintaining turnkey multi-master replication, security, and compliance through access control and end-to-end encryption capabilities.

Automatic Backup

Built-In Database

Data Retrieval

Database Support

For NoSQL Databases

Object Oriented Database

Reporting/Analytics

Azure Cosmos DB

Windows

Data Platform Engineer

They consider the SLAs very carefully and turn out to be worthy lodging a ticket. They have an awesome architecture and infrastructure that runs the Cosmos DB.

Senior Engineer

My productivity has increased as a result of the seamless creation of end-to-end solutions thanks to the integration with other Azure services.

Awesome community support, you can take benefit of regular weekly calls by the Microsoft on the Azure live TV. Wide and vast coverage of datacenters to choose from.

Software Engineer

Cosmos DB helps me a lot to store documents in JSON format that doesn't have a fixed data structure, through a very intuitive graphic interface.

Information Technology Adviser

The fastest NoSQL DB claim is true, and the fact that Microsoft has guaranteed Azure Cosmos DB speed is quite fitting.

Technical Manager

Zero to no cloud architectural guidance by MS.

Poor, had too many performance issues due to network problems. All improvement after vNets with Service endpoints got introduced.

I can easily navigate and use Cosmos DB to its fullest extent because to Microsoft's first-rate support and documentation.

Amazon DynamoDB vs Azure Cosmos DB Comparison (2026)

Amazon DynamoDB

Azure Cosmos DB

Overview

Video & Screenshots

Pricing

User reviews

Key features

Integrations

Alternatives