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Google Cloud Spanner 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

Google Cloud Spanner
Ranking in Database as a Service (DBaaS)
8th
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
5
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 Google Cloud Spanner is 5.1%, up from 3.6% 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%
Google Cloud Spanner5.1%
Other81.0%
Database as a Service (DBaaS)
 

Featured Reviews

Ethan Lo - PeerSpot reviewer
A stable and scalable relational database that ensures a return on investment for its users
The most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically. You can change Google Cloud Spanner's resource configuration, which is done through processing units. Suppose you set up Google Cloud Spanner initially with a hundred processing units, and then you run out of resources since your database used too much CPU. In the aforementioned scenario, you can scale up or down and face no downtime in the production phase. The solution's features are important when running a company twenty-four hours, seven days a week.
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

"Google Cloud Spanner is stable."
"It is a very scalable solution."
"The most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically."
"The application deployment in the cloud is the best feature of the infrastructure."
"We can scale the solution if we need to."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"The product is simple to use and enterprise-ready. It is also open-source."
"The most useful feature is the management of the backup."
"I am impressed with the tool's integrations."
"It is nice because our developers create tables whenever they need to sync data."
"The product allows us to easily set up and store large amounts of unstructured data."
"The auto-scaling feature is the most valuable aspect."
 

Cons

"I want to improve the deployment of cameras and surveillance infrastructure."
"The tool lacks to offer AI features."
"The tool needs to improve horizontal scaling."
"Google came up with something called Cloud Spanner Emulator, which fails to work like the real product if I want to develop some code and run a database locally on my machine."
"The cost can be a bit high."
"From an improvement standpoint, MongoDB can improve security."
"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 web console isn't very intuitive, especially for large data."
"The price of the solution should be reduced."
"If it could be cheaper, that would make us happy."
"I would like a more comprehensive dashboard."
"We need improved query performance."
"I am not an expert on what improvements could be made to MongoDB."
 

Pricing and Cost Advice

"Google Cloud Spanner is an expensive solution."
"The solution is expensive."
"It is expensive."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"The pricing is good. We originally chose it over DynamoDB because of the pricing."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"Pricing could always be better."
"It is an open-source platform."
"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 tool is free since it's an open-source product."
"The purchasing process through the AWS Marketplace was very good."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
13%
Manufacturing Company
8%
Retailer
8%
Computer Software Company
16%
Financial Services Firm
13%
Manufacturing Company
9%
Healthcare Company
6%
 

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 is your primary use case for Google Cloud Spanner?
Google Cloud Spanner has all the features of a traditional relational database, including schemas, SQL queries, ACID transactions, and provides excellent integration and monitoring tools as well as...
What is your experience regarding pricing and costs for Google Cloud Spanner?
Price-wise, I heard that Google Cloud Spanner is on the higher side. I am not sure if this is a rumor or if it's fake news, but I believe that having BigQuery and GCP together could be a little cos...
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

Google Spanner
Atlas, MongoDB Atlas (pay-as-you-go)
 

Overview

 

Sample Customers

Streak, Optiva, Mixpanel
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 Google Cloud Spanner vs. MongoDB Atlas and other solutions. Updated: September 2025.
866,778 professionals have used our research since 2012.