No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon DocumentDB vs Amazon DynamoDB comparison

 

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

"The product is fast and easy to use."
"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."
"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."
"Migrations are easy using this product."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"Amazon DocumentDB is a simple solution."
"Stability-wise, I rate the solution a ten out of ten. I've never faced any problems."
"Capable of auto-scaling and integrates easily with other tools"
"There aren't any issues with the product; on the contrary, it has helped us build our product from zero point to the end, and I like that there's no need for external configurations or DevOps engineers."
"Being serverless, it alleviates concerns about scalability and failover."
"Amazon DynamoDB is easy to use because of its nature of scaling and IO, and everything is very fast."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"The application runs much faster and the query response time is three to five times faster when compared to Google Datastore."
"The solution is very simple to use."
 

Cons

"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."
"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 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."
"There's a bit of a learning curve at the beginning."
"The technical support could be improved."
"The design patterns and the documentation for this solution could be improved."
"The documentation is not good enough and can be improved. There is a lot of information, and it is old and hard to find specific information."
"I would rate the stability a seven out of ten. We faced some configuration issues."
"The solution would work fast if a contact center is in the same region."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"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 the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"About 30% of the time, Amazon's support lacked enough knowledge to solve my problems."
 

Pricing and Cost Advice

Information not available
"Compared to a high-end relational database, it's cheap."
"Amazon DynamoDB is a cheap solution."
"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."
"I would rate the pricing for this solution a four out of five."
"The pricing is based on Lambda function usage. So, if a Lambda function is invoked with every call, and we receive 5,000 calls daily, that means 5,000 Lambda invocations."
"Amazon DynamoDB is not an expensive solution."
"The product is expensive"
"The solution is cheaper than Cosmos DB."
report
Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.
907,768 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
16%
Manufacturing Company
10%
Financial Services Firm
10%
Outsourcing Company
9%
Financial Services Firm
15%
Construction Company
12%
Outsourcing Company
10%
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: June 2026.
907,768 professionals have used our research since 2012.