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Amazon DocumentDB vs Microsoft Azure Cosmos DB comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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
8th
Average Rating
8.2
Reviews Sentiment
4.0
Number of Reviews
6
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
115
Ranking in other categories
Database as a Service (DBaaS) (4th), NoSQL Databases (1st), Vector Databases (1st)
 

Mindshare comparison

As of November 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 5.8%, down from 8.1% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 14.6%, down from 16.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Cosmos DB14.6%
Amazon DocumentDB5.8%
Other79.6%
Managed NoSQL Databases
 

Featured Reviews

Hemanth Perepi - PeerSpot reviewer
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.
Aman-Narang - PeerSpot reviewer
Technical Manager at Infosys
Real-time messaging has transformed customer updates and now powers responsive AI experiences
The primary benefits of Microsoft Azure Cosmos DB include horizontal scalability. The main advantage is that it handles data growth without requiring database redesign when traffic increases. Low latency access is another key benefit, as read and write operations are very fast, which is extremely helpful for real-time applications. Flexibility is also valuable because Microsoft Azure Cosmos DB uses JSON schema format, which contrasts with traditional table schemas that require time-consuming changes. In modernization scenarios where client requirements change rapidly, Microsoft Azure Cosmos DB offers more flexible schema design. High availability is another important feature, as it is well-suited for business-critical systems. My overall experience using Microsoft Azure Cosmos DB with other Azure services shows that it is more flexible compared to SQL Database and more readable because of its JSON format, making it easy to understand. It is more interactive because viewing the Microsoft Azure Cosmos DB schema clearly shows what is happening in the application and what will be achieved. In contrast, SQL requires writing many queries to obtain details, making Microsoft Azure Cosmos DB more suitable and flexible. My team's experience developing with Microsoft Azure Cosmos DB SDKs and APIs has been very comfortable and easy to implement. We are currently migrating .NET applications to Python-based AI solutions using Copilot, where we performed reverse engineering and are moving to forward engineering. We use APIs to connect with Microsoft Azure Cosmos DB and manage database containers and items, performing CRUD operations such as create, delete, and read operations, and querying JSON. We are using REST APIs with Python-based solutions, with a service layer and Microsoft Azure Cosmos DB integration.

Quotes from Members

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

Pros

"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."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"Amazon DocumentDB is a simple solution."
"The product is fast and easy to use."
"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."
"The fact that scalability can be achieved by simply configuring availability zones is very attractive."
"Change feed is a pretty amazing feature. Once you make the changes, they are quickly read for you, and then you also have geo-replication. You can do a lot of things in your region, and the same regions can be replicated all over the world."
"The ability to scale automatically is very valuable. Additionally, multi-region support automatically synchronizing to a different region for multi-region applications is a cool feature. It's more of a lift with other databases to configure that extra region and set up replication, even if it's on the cloud. With Azure, it's just a button click. It's that simple."
"Specifically, we are using the MongoDB API, so we leverage it in that way. I like the flexibility that it offers. My team does not have to spend time building out database tables. We can get going fairly quickly with being able to read and write data into a MongoDB collection that is hosted inside Azure Cosmos DB."
"Microsoft Azure Cosmos DB is fast, and its performance is good compared to normal SQL DB."
"Overall, I would rate Microsoft Azure Cosmos DB a nine out of ten."
"What I like about Microsoft Azure Cosmos DB is that it's easy to do data ingestion and use the data in different applications. If you talk about business intelligence such as the Power BI tool, it's easy to connect because both are Microsoft products. With Microsoft Azure Cosmos DB, it's easy to connect and do data ingestion."
"The benefits of Microsoft Azure Cosmos DB were immediate for us."
 

Cons

"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."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"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."
"There's a bit of a learning curve at the beginning."
"The primary driver for our planned switch to Snowflake is that this client has to work with large JSON objects, each between four to six GB, and the schema is very wide with substantial free text."
"The technical support could be improved."
"One of the most frustrating aspects of Microsoft Azure Cosmos DB right now is that you can only store one vector per document."
"A further simple application is required for Brazil."
"It would be nice to have more options to ingest the data, for example, more file options or more search options. Currently, you can use JSON, but if there were other file types you can use for data ingestion, that would be nice."
"Our use case was a failure with Microsoft Azure Cosmos DB, and we do not have any other opportunity to use Microsoft Azure Cosmos DB."
"A minor improvement would be enabling batch operations through the UI. Currently, to delete all documents in a collection, we must use an API, which some of my team finds inconvenient for admin tasks."
"The price of Microsoft Azure Cosmos DB could be a bit lower."
"Sometimes, the solution's access request takes time, which should be improved."
"There's a little bit of a learning curve because I was new to Azure. But once you learn the tool, it's pretty straightforward."
 

Pricing and Cost Advice

Information not available
"For the cloud, we don't pay for the license, but for the on-prem versions, we do pay."
"From a startup point of view, it appears to be expensive. If I were to create my startup, it would not have the pricing appeal compared to the competition, such as Supabase. All those other databases are well-advertised by communities. I know there is a free tier with Azure Cosmos DB. It is just not well advertised."
"It seems to have helped significantly. We were using a different database system previously, and one of the reasons for acquiring Microsoft Azure Cosmos DB was cost."
"Its price is in the middle, neither too low nor too high."
"The pricing model of Microsoft Azure Cosmos DB is a bit complex."
"Everything could always be cheaper. I like that Cosmos DB allows us to auto-scale instead of pre-provisioning a certain capacity. It automatically scales to the demand, so we only pay for what we consume."
"Its cost is transparent. Pricing depends on the transaction and data size, but overall, it is cheaper compared to hosting it on your corporate network due to other factors like power consumption."
"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."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
9%
Financial Services Firm
11%
Outsourcing Company
11%
Legal Firm
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise24
Large Enterprise60
 

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...
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.
What needs improvement with Amazon DocumentDB?
We do not utilize Amazon DocumentDB's compatibility with MongoDB APIs because we do not have MongoDB in this client environment. There are current discussions about phasing out from AWS's Amazon Do...
What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?
I have knowledge about the pricing, setup cost, and licensing aspect of Microsoft Azure Cosmos DB.
What needs improvement with Microsoft Azure Cosmos DB?
Microsoft Azure Cosmos DB could improve cost and performance management to be more straightforward, particularly for teams managing workloads with variable traffic. More detailed and proactive reco...
What is your primary use case for Microsoft Azure Cosmos DB?
My main use case for Microsoft Azure Cosmos DB is to support application workloads that require a highly scalable, low latency NoSQL database. I primarily use it to store and manage semi-structured...
 

Also Known As

No data available
Microsoft Azure DocumentDB, MS Azure Cosmos DB
 

Overview

 

Sample Customers

Finra, The Washington Post, Freshop
TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify
Find out what your peers are saying about Amazon DocumentDB vs. Microsoft Azure Cosmos DB and other solutions. Updated: September 2026.
920,929 professionals have used our research since 2012.