Amazon DocumentDB vs Microsoft Azure Cosmos DB comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #6 with an average rating of 8.2, while Microsoft is ranked #1 with an average rating of 8.3. Amazon Web Services (AWS) holds a 7.1% mindshare in MND, compared to Microsoft’s 15.6% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Microsoft users who would recommend it.

Amazon DocumentDB

Read 6 Amazon DocumentDB reviews

976 Views
976 Comparison Views

83% willing to recommend

Microsoft Azure Cosmos DB

Read 109 Microsoft Azure Cosmos DB reviews

11,857 Views
4,150 Comparison Views

95% willing to recommend

Amazon DocumentDB

Microsoft Azure Cosmos DB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

Microsoft Azure Cosmos DB and Amazon DocumentDB are cloud-based database solutions. Microsoft Azure Cosmos DB holds an edge with its global distribution and multi-model support offering flexibility, while Amazon DocumentDB integrates seamlessly with AWS services, providing an advantage for existing AWS customers.

Features: Microsoft Azure Cosmos DB offers multi-model database support, global distribution across regions, and automatic scaling, ensuring reliable performance with low latency. Amazon DocumentDB offers compatibility with MongoDB, efficient data handling, and robust integration within the AWS ecosystem.

Room for Improvement: Microsoft Azure Cosmos DB could improve in cost management and enhancing learning resources for users not familiar with its features. The integration with third-party tools could also be expanded. Amazon DocumentDB may look to enhance its support for advanced analytics, improve customization options for non-AWS environments, and reduce pricing complexity for clearer cost expectations.

Ease of Deployment and Customer Service: Amazon DocumentDB features a deployment model that fits well within AWS, making it easy for AWS customers to integrate. It also boasts responsive customer service. Microsoft Azure Cosmos DB provides a streamlined deployment for global applications and solid customer support, suitable for businesses needing extensive global reach.

Pricing and ROI: Microsoft Azure Cosmos DB may have higher initial expense but offers high ROI through scalability and performance. Amazon DocumentDB presents competitive pricing for AWS clients, potentially leading to cost savings. Its seamless integration enhances ROI, while Cosmos DB offers value through its performance and flexibility.

To learn more, read our detailed Amazon DocumentDB vs. Microsoft Azure Cosmos DB Report (Updated: April 2026).

Buyer's Guide

Amazon DocumentDB vs. Microsoft Azure Cosmos DB

April 2026

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Helped 890,088 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon DocumentDB

Ranking in Managed NoSQL Databases

6th

Average Rating

8.2

Reviews Sentiment

4.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Microsoft Azure Cosmos DB

Ranking in Managed NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

109

Ranking in other categories

Database as a Service (DBaaS) (4th), NoSQL Databases (2nd), Vector Databases (1st)

Mindshare comparison

As of April 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 7.1%, down from 9.9% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 15.6%, down from 15.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Microsoft Azure Cosmos DB	15.6%
Amazon DocumentDB	7.1%
Other	77.3%

Managed NoSQL Databases

Featured Reviews

Hemanth Perepi

Technical Lead at Trianz

Supports high-level data management and secure migration

Over the past few months, I’ve been working closely with a managed database service, and a few features stood out as game changers for me and my team: MongoDB Compatibility – The seamless migration experience was a huge win. No need to rewrite code or change drivers, which meant less friction and faster adoption for our developers. Fully Managed Service – Patching, backups, and monitoring are all automated. This freed up our team to focus on building applications instead of managing infrastructure. Separation of Compute & Storage – The flexibility to scale compute and storage independently gave us both cost savings and better performance optimization. Multi-AZ High Availability – Automatic failover and cross-AZ replication gave us peace of mind with improved uptime and disaster recovery. Performance at Scale – Even with large datasets, performance has remained consistent. Read replicas and efficient indexing have been especially valuable for read-heavy workloads. Security – End-to-end encryption, VPC isolation, and IAM integration made enterprise-level security feel straightforward and reliable. Backup & Recovery – Point-in-time recovery with automated backups made data protection effortless.

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reviewer2724105

Senior Director of Product Management at a tech vendor with 1,001-5,000 employees

Provides super sharp latency, excellent availability, and the ability to effectively manage costs across different tenants

For integrating Microsoft Azure Cosmos DB with other Azure products or other products, there are a couple of challenges with the current system. Right now, the vectors are stored as floating-point numbers within the NoSQL document, which makes them inefficiently large. This leads to increased storage space requirements, and searching through a vast number of documents in the vector database becomes quite costly in terms of RUs. While the integration works well, the expense associated with it is relatively high. I would really like to see a reduction in costs for their vector search, as it is currently on the expensive side. The areas for improvement in Microsoft Azure Cosmos DB are vector pricing and vector indexing patterns, which are unintuitive and not well described. I would also like to see the parameters of Fleet Spaces made more powerful, as currently, it's somewhat lightweight. I believe they've made those changes intentionally to better understand the cost model. However, we would like to take a more aggressive approach in using it. One of the most frustrating aspects of Microsoft Azure Cosmos DB right now is that you can only store one vector per document. Additionally, you must specify the configuration of that vector when you create an instance of Microsoft Azure Cosmos DB. Once the database is set up, you can't change the vector configuration, which is incredibly limiting for experimentation. You want the ability to try different settings and see how they perform, as there are numerous use cases for storing more than one vector in a document. While interoperability within the vector database is acceptable—for example, I can search for vectors—I still desire a richer set of configuration options.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Amazon DocumentDB is a simple solution."

"Migrations are easy using this product."

"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."

"The product is fast and easy to use."

"Efficient data retrieval with millisecond fetch times sets it apart from RDS."

"There are many benefits to using Amazon DocumentDB, for example, regarding the price, you can start with a small database and when you need more performance, you can grow the database."

"Efficient data retrieval with millisecond fetch times sets it apart from RDS."

"One valuable feature of Microsoft Azure Cosmos DB is partitioning. Its performance is very nice."

"Microsoft Azure Cosmos DB is easy to use and implement for application programmers."

"The best part of Microsoft Azure Cosmos DB is that with the default configuration and the Azure functional pipeline, if your go-to cloud provider is Microsoft Azure, the whole integration is seamless."

"Having a NoSQL solution that can do that in a 100 percent Azure shop is the best fit we could want."

"The biggest benefit it offers is scalability. It's easier to work with concurrency and updating data."

"It is integral to our business because it helps manage schema and metadata for all our documents and customers. The AI insights we glean based on Azure OpenAI also end up in Cosmos DB. We need a NoSQL store because the schema is dynamic and flexible, so Cosmos DB is a great fit. It has four nines or possibly five nines availability, excellent geo-distribution, and auto-scaling."

"For modern applications, I would recommend Microsoft Azure Cosmos DB."

"Cosmos is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."

More Microsoft Azure Cosmos DB pros

Cons

"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."

"There's a bit of a learning curve at the beginning."

"Improvements for Amazon DocumentDB could focus on enhancing high availability, sharding methods, replication techniques, and automatic failover in case the primary goes down, as continuous backup is an excellent option for disaster recovery."

"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."

"The technical support could be improved."

"There's a bit of a learning curve at the beginning."

"We would like to see advancements in AI with the ability to benchmark vector search capabilities, ensuring it answers questions accurately. During our initial implementation, we faced challenges with indexing and sorting, which are natively available in other offerings but required specific configurations in Cosmos."

"The size of the continuation token in Azure Cosmos DB should be static rather than increasing with more data, as it can lead to application crashes."

"I wouldn't say we have benefited from the workload management by using it; we just sync data to it and make it available for people to retrieve."

"There is room for improvement in their customer support services."

"One area that could be improved is indexing. Some of the developers struggle with the way the indexing works. We are exploring vector indexing, which we haven't examined fully yet. Indexing is an aspect we're looking to improve upon potentially."

"A way Microsoft Azure Cosmos DB could be improved is through the introduction of an access control list on a row and on a specific field within the document, rather than relying on application-level coding to manage different access control lists."

"There aren't any specific areas that need improvement, but if there were a way to achieve the right cosine similarity score without extensive testing, that would be very beneficial."

"The topic of RU consumption needs better documentation. Now that Microsoft has partnered with different LLM organizations, such as OpenAI, a bot could guide us through different metrics present in Microsoft Azure Cosmos DB."

More Microsoft Azure Cosmos DB cons

Pricing and Cost Advice

Information not available

"Cosmos DB is a PaaS, so there are no upfront costs for infrastructure. There are only subscriptions you pay for Azure and things like that. But it's a PaaS, so it's a subscription service. The license isn't perpetual, and the cost might seem expensive on its face, but you have to look at the upkeep for infrastructure and what you're saving."

"Cosmos DB is expensive, and the RU-based pricing model is confusing. Although they have a serverless layer, there are deficiencies in what I can define and assign to a database. Estimating infrastructure needs is not straightforward, making it challenging to manage costs."

"The pricing model of Microsoft Azure Cosmos DB is a bit complex."

"Most customers like the flexibility of the pricing model, and it has not been an issue. They can start small, and the cost grows with adoption, allowing efficient management of the budget. Its pricing model has not been a concern at all for any of our customers. They understand it. It is simple enough to understand. Oftentimes, it is hard to forecast the RUs, but, in general, it has been fine."

"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high."

"It is expensive. The moment you have high availability options and they are mixed with the type of multitenant architecture you use, the pricing is on the higher end."

"I would rate Cosmos DB's cost at seven out of ten, with ten being the highest."

"The pricing for Microsoft Azure Cosmos DB is good. Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

12%

Manufacturing Company

11%

Government

Legal Firm

11%

Financial Services Firm

11%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	22
Large Enterprise	58

Questions from the Community

What advice do you have for others considering Amazon DocumentDB?

Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are im...

See all answers

What do you like most about Amazon DocumentDB?

Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other ...

See all answers

What is your experience regarding pricing and costs for Amazon DocumentDB?

The pricing and licensing of Amazon DocumentDB is managed directly by the client team with the vendor, so I am not involved in that aspect.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

Microsoft Azure Cosmos DB's pricing model has aligned with my budget expectations because I can tune the RU as I need to, which helps a lot. Microsoft Azure Cosmos DB's dynamic auto-scale or server...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

I have not utilized Microsoft Azure Cosmos DB multi-model support for handling diverse data types. I'm not in the position to decide if clients will use Microsoft Azure Cosmos DB or any other datab...

See all answers

What is your primary use case for Microsoft Azure Cosmos DB?

We have a very large team of developers who develop a solution for our customers. In the part where they need some infrastructure on Microsoft Azure, we deploy entire environments of different type...

See all answers

Comparisons

MongoDB Atlas vs Amazon DocumentDB

Compared 25% of the time

Amazon Timestream vs Amazon DocumentDB

Compared 11% of the time

Amazon DynamoDB vs Amazon DocumentDB

Compared 9% of the time

Google Cloud Firestore vs Amazon DocumentDB

Compared 8% of the time

Amazon Neptune vs Amazon DocumentDB

Compared 8% of the time

Product Reports

Buyer's Guide

Amazon DocumentDB

April 2026

Download Amazon DocumentDB product report

Buyer's Guide

Microsoft Azure Cosmos DB

April 2026

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Overview

Amazon DocumentDB is a fully managed database service that facilitates seamless migration with MongoDB compatibility, featuring automated patching and backups. It offers scalability and consistent performance with advanced security through end-to-end encryption.

Amazon DocumentDB provides independent scaling of compute and storage for cost efficiency, with multi-AZ high availability ensuring uptime. Its performance is reliable even with large datasets, aided by read replicas and indexing. While the learning curve can be steep and performance tuning limited in extensive datasets, it remains a key choice for secure, scalable database solutions with comprehensive user documentation. Enhancements suggested include improvements in high availability, sharding, replication, technical support, and a graphical interface for insights.

What are the key features of Amazon DocumentDB?

MongoDB Compatibility: Allows seamless migration without code changes.
Fully Managed Service: Provides automated patching, backups, and monitoring.
Independent Scaling: Offers cost savings by scaling compute and storage separately.
High Availability: Multi-AZ deployment enhances uptime and resilience.
Secure Encryption: Ensures data protection with robust end-to-end encryption.

What benefits should users look for?

Scalability: Handles large data volumes efficiently with flexible scaling options.
Ease of Use: Simplifies database management with automated features.
Performance: Maintains consistent performance with large datasets and advanced indexing.
Comprehensive Documentation: Guides users through setup and optimization processes.

Amazon DocumentDB is primarily used in industries requiring the handling of unstructured data, like PDFs, making them searchable and supporting mission-critical applications. It serves sectors such as healthcare for managing user manuals, banking for backend operations, and provides NoSQL flexibility with high availability for data-intensive tasks.

Amazon Web Services (AWS)

Microsoft Azure Cosmos DB offers scalable, geo-replicated, multi-model support with high performance and low latency. It provides seamless Microsoft service integration, benefiting those needing flexible NoSQL, real-time analytics, and automatic scaling for diverse data types and quick global access.

Azure Cosmos DB is designed to store, manage, and query large volumes of both unstructured and structured data. Its NoSQL capabilities and global distribution are leveraged by organizations to support activities like IoT data management, business intelligence, and backend databases for web and mobile applications. While its robust security measures and availability are strengths, there are areas for improvement such as query complexity, integration with services like Databricks and MongoDB, documentation clarity, and performance issues. Enhancements in real-time analytics, API compatibility, cross-container joins, and indexing capabilities are sought after. Cost management, optimization tools, and better support for local development also require attention, as do improvements in user interface and advanced AI integration.

What are the key features of Azure Cosmos DB?

Scalability: Effortlessly handles scaling for large workloads.
Geo-replication: Provides global data access with low latency.
Multi-model Support: Compatible with diverse data types.
NoSQL Flexibility: Offers a non-relational database experience.
Real-time Analytics: Facilitates data-driven decision-making.
Automation: Simplifies scaling and maintenance processes.

What benefits can users expect from Cosmos DB?

High Performance: Ensures rapid processing and low latency.
Ease of Use: Features a user-friendly interface enhancing deployment speed.
Seamless Integration: Connects effortlessly with Microsoft services.
Security: Offers robust measures to protect data integrity.
Consistent Availability: Ensures continuous access to data worldwide.

Industries use Azure Cosmos DB to support business intelligence and IoT data management, using its capabilities for backend databases in web and mobile applications. The platform's scalability and real-time analytics benefit sectors like finance, healthcare, and retail, where managing diverse datasets efficiently is critical.

Microsoft

Sample Customers

Finra, The Washington Post, Freshop

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify

Buyer's Guide

Amazon DocumentDB vs. Microsoft Azure Cosmos DB

April 2026

Free Report: Amazon DocumentDB vs. Microsoft Azure Cosmos DB

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