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Couchbase Capella vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 2, 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

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
No ranking in other categories
MongoDB Atlas
Ranking in Database as a Service (DBaaS)
3rd
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
49
Ranking in other categories
Managed NoSQL Databases (4th)
 

Mindshare comparison

As of September 2025, in the Database as a Service (DBaaS) category, the mindshare of Couchbase Capella is 1.3%, up from 0.3% compared to the previous year. The mindshare of MongoDB Atlas is 13.9%, down from 16.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
MongoDB Atlas13.9%
Couchbase Capella1.3%
Other84.8%
Database as a Service (DBaaS)
 

Featured Reviews

SupriyaKulkarni - PeerSpot reviewer
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
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."
"The cloud-based nature of this solution makes it flexible and scalable."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."
"The dynamic structures are the most valuable."
"MongoDB is a NoSQL tool."
"The speed of it is the most valuable feature."
"The initial setup of MongoDB Atlas is straightforward...It is a scalable solution."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
 

Cons

"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."
"Rebalancing could be improved."
"The web console isn't very intuitive, especially for large data."
"The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging."
"From an improvement standpoint, MongoDB can improve security."
"Searching and browsing through the collection must be made easier."
"I would like to have better performance for user experience with the solution."
"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
"It would be better if there were more integration capabilities with other products."
 

Pricing and Cost Advice

Information not available
"I am using the free version of the solution."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"The solution is fairly priced."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"The purchasing process through the AWS Marketplace was very good."
"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 tool is free since it's an open-source product."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
16%
Financial Services Firm
13%
Manufacturing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business22
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?
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
What needs improvement with MongoDB Atlas?
There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB ...
 

Also Known As

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

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: September 2025.
867,445 professionals have used our research since 2012.