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Amazon DocumentDB vs Amazon DynamoDB comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 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
9th
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
6.0
Number of Reviews
45
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 5.9%, down from 8.6% compared to the previous year. The mindshare of Amazon DynamoDB is 9.9%, down from 15.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Amazon DynamoDB9.9%
Amazon DocumentDB5.9%
Other84.2%
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

"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."
"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."
"Amazon DocumentDB is a simple solution."
"The product is fast and easy to use."
"Being serverless, it alleviates concerns about scalability and failover."
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
"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."
"The most valuable features of the solution are its price and stability."
"The possibility of managing documents is the most valuable aspect of the solution, and I like the fact that I don't have to define the fields."
"The most valuable features are the flexibility and the compatibility options without needing to use any additional services or software, as it is an independent solution that doesn't need other solutions to operate."
"The fact that Amazon DynamoDB is highly scalable is one of its best features."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
 

Cons

"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."
"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."
"There's a bit of a learning curve at the beginning."
"The technical support could be improved."
"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."
"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."
"I would also like to see improvements in indexing in Amazon DynamoDB because when we change the indexing, it takes quite a bit of time, and we lack joins in the table; additionally, we have query limits concerning how much we can query at one single time, which becomes expensive when dealing with a large dataset, such as when we had around 10 million rows, and scanning that table was very costly."
"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."
"Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use."
"The solution would work fast if a contact center is in the same region."
"Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into DynamoDB."
"The solution could be cheaper."
"Defining simple expressions and queries can be slightly complicated due to DynamoDB's unique JSON syntax. This can be confusing, especially for beginners."
 

Pricing and Cost Advice

Information not available
"Amazon DynamoDB is a cheap solution."
"The solution's pricing is good, and it's not expensive."
"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"It's an expensive solution"
"It is a little expensive."
"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
"I would rate the pricing for this solution a four out of five."
"You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Outsourcing Company
11%
Financial Services Firm
10%
Manufacturing Company
9%
Financial Services Firm
15%
Outsourcing Company
12%
Construction Company
11%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise1
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 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 needs improvement with Amazon DynamoDB?
In terms of improvement for Amazon DynamoDB, I can see that it supports a very good amount of querying, but if they can enhance that part by providing aggregation functions similar to SQL and other...
What is your primary use case for Amazon DynamoDB?
Amazon DynamoDB is primarily used for data storage since it is a non-structured database.A specific example of how I use Amazon DynamoDB for data storage in my work is that we use it in correlation...
What advice do you have for others considering Amazon DynamoDB?
My advice for others looking into using Amazon DynamoDB would be that it depends on the architecture needs and budget; if they aim for cost-efficiency, they should use Amazon DynamoDB, but if they ...
 

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: August 2026.
911,436 professionals have used our research since 2012.