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Google Cloud Spanner vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024
 

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
7.5
Number of Reviews
47
Ranking in other categories
Managed NoSQL Databases (4th)
 

Mindshare comparison

As of December 2024, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 3.7%, down from 3.8% compared to the previous year. The mindshare of MongoDB Atlas is 15.5%, up from 13.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
AhmetÖzdemir - PeerSpot reviewer
Allows our business to analyze social media data with machine learning and store the data in MongoDB
I have also used Microsoft SQL databases. There's a distinction between SQL and MongoDB because one of them is based on the schema first. The other is not schema, not permanent, because of ACID compliant databases. The transaction is very important at the SQL, MYSQL, and Postgre databases, so if any transaction fails, it has to roll back because of the schema at most of ACID compliant databases. There are 35 million customers that consume those databases, like a POC system. Lots of transactions passing through the system are based on Microsoft SQL. Only semi-structured data – like a document based system like Twitter and social media data – is based on MongoDB.

Quotes from Members

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

Pros

"It is a very scalable solution."
"The application deployment in the cloud is the best feature of the infrastructure."
"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."
"We can scale the solution if we need to."
"The cloud-based nature of this solution makes it flexible and scalable."
"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 auto-scaling feature is the most valuable aspect."
"This solution is very helpful due to its ease of use."
"Its most valuable features are high availability and zero maintenance."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"It is nice because our developers create tables whenever they need to sync data."
"Being schemaless is what I like best about MongoDB Atlas."
 

Cons

"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."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The tool lacks to offer AI features."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"The product's file storage documentation needs improvement."
"From an improvement standpoint, MongoDB can improve security."
"The speed when combining two documents is concerning."
"We need improved query performance."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"The product's data aggregation feature needs to work faster."
"The product does not have ORM."
 

Pricing and Cost Advice

"It is expensive."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"The solution is expensive."
"Google Cloud Spanner is an expensive solution."
"Pricing could always be better."
"I am using the free version of the solution."
"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which 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."
"We pay for a license."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"The solution is fairly priced."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
14%
Retailer
12%
Manufacturing Company
9%
Computer Software Company
18%
Financial Services Firm
15%
Healthcare Company
6%
Comms Service Provider
6%
 

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 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 needs improvement with MongoDB Atlas?
Searching and browsing through the collection must be made easier.
 

Also Known As

Google Spanner
Atlas
 

Learn More

 

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: December 2024.
824,053 professionals have used our research since 2012.