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Couchbase Capella vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 11, 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

Couchbase Capella
Ranking in Database as a Service (DBaaS)
15th
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
AI Data Analysis (23rd)
MongoDB Atlas
Ranking in Database as a Service (DBaaS)
3rd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
50
Ranking in other categories
Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (4th), AI Software Development (10th)
 

Mindshare comparison

As of March 2026, in the Database as a Service (DBaaS) category, the mindshare of Couchbase Capella is 1.4%, up from 0.6% compared to the previous year. The mindshare of MongoDB Atlas is 12.1%, down from 14.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
MongoDB Atlas12.1%
Couchbase Capella1.4%
Other86.5%
Database as a Service (DBaaS)
 

Featured Reviews

SupriyaKulkarni - PeerSpot reviewer
Devops Specialist at Amdocs
Good GUI, easy to learn, and simple to install
The architecture is complex. I do understand that. However, the GUI is very user-friendly. Sometimes all these things are a little difficult to understand for a person who is not experienced in Couchbase. There is a constant requirement to upgrade the versions. We need to constantly keep on upgrading the latest version for the newest one. Currently, we are dealing with an issue where some of the servers are on the 6.5 version, and a few have moved to 7.5. So we are in a mixed mode right now. We are having a high IO issue on our servers, which we are already dealing with. We have these cases with Couchbase, with Red Hat, et cetera. We feel like this constant need to upgrade is something that is very mundane yet a very difficult task. If you have three clusters, which have around thirty nodes, the data is quite sensitive. Whenever there is Couchbase upgrade that is going on, we see that our SR is dropped. The purchase rate and success rate drop. This affects our business and the clients. Rebalancing could be improved. I find it to be a very slow process when it comes to rebalancing the clusters. If you talk about other architectures like Oracle, they are pretty fast. Couchbase is a little slower. Rebalancing, taking the node out, doing the upgrade, putting it back, rebalancing it, is a very difficult and cumbersome. For Oracle, we have been running on version 19.5 for the past five years. There were absolutely no issues. Yet for Couchbase, every six months, we have to go do the upgrade.
Laksiri Bala - PeerSpot reviewer
DB Architect / Consultant at Virtusa Global
Room for improvement in data handling leads to enhanced cost-effective data management performance
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

Quotes from Members

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

Pros

"The initial setup was straightforward."
"The way the nodes are managed is interesting."
"It is nice because our developers create tables whenever they need to sync data."
"The most useful feature is the management of the backup."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"The speed of it is the most valuable feature."
"I would recommend MongoDB Atlas to potential users."
"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."
"It's a very elastic solution for the purposes of our systems and the developers appreciate it for software development."
"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."
 

Cons

"Rebalancing could be improved."
"The product could be improved by including a log section for tracking activities, enhancing database integration, and providing more transparency regarding pricing and monitoring activities."
"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"The product's data aggregation feature needs to work faster."
"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."
"The product does not have ORM."
"The speed when combining two documents is concerning."
"I would say pricing is an area where MongoDB Atlas could improve."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
 

Pricing and Cost Advice

Information not available
"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"The purchasing process through the AWS Marketplace was very good."
"I have seen the cost, and it was pretty cheap."
"The pricing is good. We originally chose it over DynamoDB because of the pricing."
"The pricing and licensing is great."
"It is too expensive. They need to work on this."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
11%
Financial Services Firm
11%
Computer Software Company
10%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise10
Large Enterprise20
 

Questions from the Community

What needs improvement with Couchbase Capella?
The architecture is complex. I do understand that. However, the GUI is very user-friendly. Sometimes all these things are a little difficult to understand for a person who is not experienced in Cou...
What is your primary use case for Couchbase Capella?
The solution is basically used to support our ordering system, which generates a huge number of orders for our customers.
What advice do you have for others considering Couchbase Capella?
We are Counchbase customers. Depending on your application, it is good to use Couchbase where you have high OLTP systems where you know there will be constant data loading, deleting, et cetera, hap...
What do you like most about MongoDB Atlas?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...
What is your experience regarding pricing and costs for MongoDB Atlas?
Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...
What needs improvement with MongoDB Atlas?
An improvement I can suggest for MongoDB Atlas is achieving even faster query execution and smoother application performance. In terms of scalability, it handles system growth without failure, but ...
 

Also Known As

No data available
Atlas, MongoDB Atlas (pay-as-you-go)
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Information Not Available
Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Find out what your peers are saying about Couchbase Capella vs. MongoDB Atlas and other solutions. Updated: March 2026.
884,933 professionals have used our research since 2012.