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Amazon DocumentDB vs Amazon DynamoDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 2025

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
5th
Average Rating
8.2
Reviews Sentiment
4.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Amazon DynamoDB
Ranking in Managed NoSQL Databases
2nd
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
45
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 8.1%, down from 9.9% compared to the previous year. The mindshare of Amazon DynamoDB is 10.6%, down from 18.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Amazon DynamoDB10.6%
Amazon DocumentDB8.1%
Other81.3%
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.
DG
Lead SRE at JavaTech
Has improved infrastructure availability and simplified integration through reliable cloud-based data management
Amazon DynamoDB is readily available, and we do not have to worry about downtime unless there is a global outage. From a cost perspective, it presents a challenge. The primary feature is constant availability without concerns about server maintenance or ensuring database uptime, as AWS manages everything from their end. We simply set up the database and allocate it to customers according to their requirements, making it an easy and smooth transition. Regarding security, being in the cloud provides numerous security features. Amazon DynamoDB operates at the backend within our three-tier architecture. We have front hosting, business logic or application server in the middle, and databases at the backend. Additionally, we implement security layers such as SSL, creating a highly secure environment. The solution has proven to be reliable thus far.

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."
"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."
"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 fact that Amazon DynamoDB is highly scalable is one of its best features."
"We use the single table design pattern extensively since it helps us describe very complex patterns and data types on the table."
"Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would want you to stick to a specific data allocation. Its subscription cost is lower than similar databases offered by other vendors."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."
"It has helped us build our product from zero point to the end."
"The platform is easy to develop and configure."
"The best feature is NoSQL."
 

Cons

"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."
"The technical support could be improved."
"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."
"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."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up."
"As more data comes in, it becomes more expensive."
"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"Defining simple expressions and queries can be slightly complicated due to DynamoDB's unique JSON syntax. This can be confusing, especially for beginners."
"If you purchase the support plan, their support team is good. If not, it takes two to three days to respond, sometimes even more."
"Querying data on the solution is quite limited, but this is like any other NoSQL database. It's the most common criticism of the NoSQL database in general."
"The design patterns and the documentation for this solution could be improved. In a future release, we would like to see an improvement of the data push options as we sometimes experience blockers when moving data."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
 

Pricing and Cost Advice

Information not available
"I can say that it is not the cheapest one because if we had our own kind of storage solution, our own hosting, and instead of using the cloud, we opted for some other method, it would have been a tool of a lower cost."
"The solution is cheaper than Cosmos DB."
"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"It is costly. To reduce the costs, users need to read the node in front of it. For read-heavy groups, cache optimization can help manage costs.I can't disclose specific pricing, but it's competitive compared to others in the market, and this information is easily accessible online"
"Amazon DynamoDB is a cheap solution."
"Amazon DynamoDB is not an expensive solution."
"On a scale of one to ten, where one is a high price and ten is a low price, I rate the pricing a seven. It is not the cheapest, but it is not the costliest either."
"The solution's pricing is good, and it's not expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
13%
Manufacturing Company
10%
Educational Organization
7%
Financial Services Firm
17%
Computer Software Company
15%
Manufacturing Company
10%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise2
Large Enterprise19
 

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 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 ...
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 DynamoDB?
The only challenge I face with Amazon DynamoDB is that with the partition key and secondary key, the query doesn't become very easy. The construction of that schema is a bit tricky because once you...
What is your primary use case for Amazon DynamoDB?
Our main use case for Amazon DynamoDB is storing quick metadata information about any of the image artifacts that we collect from our customers. We generally store this in Amazon DynamoDB in multip...
 

Overview

 

Sample Customers

Finra, The Washington Post, Freshop
Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Find out what your peers are saying about Amazon DocumentDB vs. Amazon DynamoDB and other solutions. Updated: December 2025.
880,685 professionals have used our research since 2012.