Google Cloud Bigtable vs MongoDB Atlas comparison

Google and MongoDB are both solutions in the Managed NoSQL Databases category. Google is ranked #8 with an average rating of 9.7, while MongoDB is ranked #6 with an average rating of 8.4. Google holds a 5.2% mindshare in MND, compared to MongoDB’s 6.1% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Google Cloud Bigtable

Read 6 Google Cloud Bigtable reviews

909 Views
514 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 48 MongoDB Atlas reviews

209 Views
124 Comparison Views

96% willing to recommend

Google Cloud Bigtable

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 3, 2025

Google Cloud Bigtable and MongoDB Atlas compete in the cloud database market. MongoDB Atlas shows an edge in feature richness, while Google Cloud Bigtable excels in performance and scalability.

Features: Google Cloud Bigtable is notable for its scalability, performance, and low latency, especially beneficial for large datasets and analytical workloads. MongoDB Atlas offers flexibility with document-based data models, advanced querying, and seamless integration into diverse developer environments.

Room for Improvement: Google Cloud Bigtable could enhance its initial setup process and broaden feature offerings beyond large dataset handling. MongoDB Atlas might benefit from optimizing its pricing model and further improving performance metrics for larger datasets. Both could enhance localizations for global user bases.

Ease of Deployment and Customer Service: MongoDB Atlas facilitates smooth deployment across multiple cloud providers, complemented by robust customer support and operational automation. Google Cloud Bigtable integrates seamlessly with other Google Cloud services, but may require more initial configuration. Its customer service is effective but less tailored than MongoDB Atlas's comprehensive support options.

Pricing and ROI: Google Cloud Bigtable offers a lower entry cost for scalable performance-focused applications, aiming for long-term ROI. MongoDB Atlas, although potentially higher priced due to richer features and support, can deliver significant ROI through efficient management and functionality.

To learn more, read our detailed Google Cloud Bigtable vs. MongoDB Atlas Report (Updated: April 2025).

Buyer's Guide

Google Cloud Bigtable vs. MongoDB Atlas

April 2025

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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 Bigtable

Ranking in Managed NoSQL Databases

8th

Average Rating

8.8

Reviews Sentiment

8.1

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB Atlas

Ranking in Managed NoSQL Databases

6th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (3rd)

Mindshare comparison

As of May 2025, in the Managed NoSQL Databases category, the mindshare of Google Cloud Bigtable is 5.2%, down from 9.7% compared to the previous year. The mindshare of MongoDB Atlas is 6.1%. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Featured Reviews

Aakash Sharma

Senior Technical Architect at HCL Technologies

Great for streaming data and being a managed service is an advantage

Our primary use case is for analytics, analyzing the data sets and curing Bigtable is very user-friendly where streaming data is required. I think it's relatively easier to use than Ascentra. The fact that it's a managed service is an advantage. The cost of this product is too expensive.…

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Laksiri Bala

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.

Read full review

Quotes from Members

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

Pros

"The most valuable feature is the backup and replication service."

"Scalability-wise, I rate the solution a ten out of ten."

"It's very user-friendly where streaming data is required."

"The solution is very convenient."

"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."

"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."

"Being schemaless is what I like best about MongoDB Atlas."

"The auto-scaling feature is the most valuable aspect."

"The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it."

"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."

"It has a flexible integration with our easy API."

"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."

"The most useful feature is the management of the backup."

"The initial setup is straightforward."

More MongoDB Atlas pros

Cons

"Improvement should be made as per customer recommended and requirements."

"The lagging problem of the product I face is an area of concern where improvements are required."

"This product needs better security and transparency, and the price should be reduced."

"The cost of this product is too expensive."

"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."

"I've used Bigtable for about three or four years."

"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."

"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."

"I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six."

"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."

"I would like to have better performance for user experience with the solution."

"The cost needs improvement."

"From an improvement standpoint, MongoDB can improve security."

"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."

More MongoDB Atlas cons

Pricing and Cost Advice

Information not available

"The pricing and licensing is great."

"The pricing is good. We originally chose it over DynamoDB because of the pricing."

"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."

"For me, MongoDB is expensive, but I think it is not so expensive for customers."

"The pricing is acceptable for enterprise tier."

"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."

"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

16%

University

14%

Retailer

Financial Services Firm

Computer Software Company

20%

Financial Services Firm

15%

Comms Service Provider

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

See all answers

What needs improvement with Google Cloud Bigtable?

The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.

See all answers

What is your primary use case for Google Cloud Bigtable?

When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable...

See all answers

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...

See all answers

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.

See all answers

What needs improvement with MongoDB Atlas?

See all answers

Comparisons

Amazon Timestream vs Google Cloud Bigtable

Compared 39% of the time

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 28% of the time

MongoDB vs Google Cloud Bigtable

Compared 19% of the time

Amazon DynamoDB vs Google Cloud Bigtable

Compared 15% of the time

More Google Cloud Bigtable Competitors

Amazon RDS vs MongoDB Atlas

Compared 43% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 16% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 12% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Upstash vs MongoDB Atlas

Compared 6% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Managed NoSQL Databases

April 2025

Download Google Cloud Bigtable product report

Buyer's Guide

MongoDB Atlas

April 2025

Download MongoDB Atlas product report

Also Known As

No data available

Atlas

Overview

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Google

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?

Speed: Optimized for fast data handling and processing.
Scalability: Adapts to growing data needs without hassle.
Ease of Use: User-friendly interface for efficient navigation.
Flexibility: Supports unstructured data with ease.
Integration: Seamlessly connects with cloud environments.
High Availability: Ensures uninterrupted data access and operations.
Advanced Security: Protects data with robust security measures.
Schemaless Architecture: Enables dynamic data structure management.
Rich Query Support: Facilitates complex queries and analytics.

What benefits and ROI should be considered?

Easy Deployment: Streamlines the setup process in cloud environments.
Efficient Project Management: APIs and tools enhance workflow.
Cost-Effectiveness: Potential for more flexible pricing models.
Data Management: Automates backups and supports clustering.
Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB

Sample Customers

Cognite, Dow Jones, Loblaw Digital

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

Buyer's Guide

Google Cloud Bigtable vs. MongoDB Atlas

April 2025

Free Report: Google Cloud Bigtable vs. MongoDB Atlas

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