Google Cloud Spanner vs MongoDB Atlas comparison


Comparison Buyer's Guide

Executive Summary

Categories and Ranking

Google Cloud Spanner
Ranking in Database as a Service
Average Rating
Number of Reviews
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Database as a Service
Average Rating
Number of Reviews
Ranking in other categories
No ranking in other categories

Mindshare comparison

As of July 2024, in the Database as a Service category, the mindshare of Google Cloud Spanner is 3.1%, down from 4.1% compared to the previous year. The mindshare of MongoDB Atlas is 13.6%, up from 10.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service
Unique Categories:
No other categories found

Featured Reviews

Feb 17, 2023
Very easy to deploy and execute
I am currently working as an independent consultant and am not part of a company that uses Google Cloud Spanner.  My ultimate goal is to work on the deployment of Google Cloud Spanner in other infrastructure projects as well The application deployment in the cloud is the best feature of the…
Gabriel Anderson - PeerSpot reviewer
Feb 15, 2023
Efficient database management, and easy-to-manage resources within our own cloud environment
I have used MongoDB Atlas for my personal side projects as a database, and I have also used it as an infrastructure-as-code (IAC). In my apps, I have used the API to manage and create new databases programmatically. At my workplace, we use MongoDB Atlas for database management, access management…

Quotes from Members

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


"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 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."
"Google Cloud Spanner is stable."
"You can start quickly on projects which allow you to store many things."
"The speed of it is the most valuable feature."
"This solution is very helpful due to its ease of use."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"It enables us to get work done quickly and get to our data."
"It is nice because our developers create tables whenever they need to sync data."
"The most useful feature is the management of the backup."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."


"I want to improve the deployment of cameras and surveillance infrastructure."
"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 tool needs to improve horizontal scaling."
"The cost can be a bit high."
"Customer support needs improvement knowledge-wise."
"I would like a more comprehensive dashboard."
"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."
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."
"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."
"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."
"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."
"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."

Pricing and Cost Advice

"It is expensive."
"Google Cloud Spanner is an expensive solution."
"The solution is expensive."
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"It is too expensive. They need to work on this."
"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."
"We pay for a license."
"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 pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"I have seen the cost, and it was pretty cheap."
"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
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Top Industries

By visitors reading reviews
Financial Services Firm
Computer Software Company
Computer Software Company
Financial Services Firm
Manufacturing Company
Comms Service Provider

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available

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 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 needs improvement with MongoDB Atlas?
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Also Known As

Google Spanner

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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: July 2024.
792,905 professionals have used our research since 2012.