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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 way the nodes are managed is interesting."
"The initial setup was straightforward."
"The auto-scaling feature is the most valuable aspect."
"Administering the solution is easy."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"The most valuable feature is the schemaless architecture."
"The product allows us to easily set up and store large amounts of unstructured data."
"I am impressed with the tool's integrations."
"Being schemaless is what I like best about MongoDB Atlas."
"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
 

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."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"If it could be cheaper, that would make us happy."
"The speed when combining two documents is concerning."
"I would like a more comprehensive dashboard."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it. The pricing could be improved."
"Customer support needs improvement knowledge-wise."
 

Pricing and Cost Advice

Information not available
"Pricing could always be better."
"The pricing and licensing is great."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"I have seen the cost, and it was pretty cheap."
"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
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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.
884,797 professionals have used our research since 2012.