Google Cloud SQL vs MongoDB Atlas vs Oracle Database as a Service comparison

Google and MongoDB are both solutions in the Database as a Service (DBaaS) category. Google is ranked #6 with an average rating of 7.9, while MongoDB is ranked #3 with an average rating of 8.3. Google holds a 10.7% mindshare in DS, compared to MongoDB’s 14.0% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Google Cloud SQL

Read 22 Google Cloud SQL reviews

2,081 Views
2,081 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 49 MongoDB Atlas reviews

4,420 Views
3,580 Comparison Views

96% willing to recommend

Oracle Database as a Service

Read 68 Oracle Database as a Service reviews

1,516 Views
1,455 Comparison Views

97% willing to recommend

Google Cloud SQL

MongoDB Atlas

Oracle Database as a Service

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Google Cloud SQL, MongoDB Atlas, and Oracle Database as a Service based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS).

To learn more, read our detailed Database as a Service (DBaaS) Report (Updated: September 2025).

Buyer's Guide

Database as a Service (DBaaS)

September 2025

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Helped 868,759 peers since 2012

Review summaries and opinions

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

Mindshare comparison

As of October 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 10.7%, down from 17.4% compared to the previous year. The mindshare of MongoDB Atlas is 14.0%, down from 16.2% compared to the previous year. The mindshare of Oracle Database as a Service is 7.8%, down from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
MongoDB Atlas	14.0%
Oracle Database as a Service	7.8%
Google Cloud SQL	10.7%
Other	67.5%

Database as a Service (DBaaS)

Featured Reviews

Prathap Sankar

Analytics Delivery Manager at Tredence Inc.

Gain control and flexibility with customizable tools but has slower performance

I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…

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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.

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Duy AnhMai

Product Owner at Heineken

Offers security and good performance

Price-wise, the tool is expensive, and I feel it is an area where improvements are needed. Oracle Database as a Service is not as popular as other tools because we use AWS and GCP. Oracle is okay in terms of performance for banking businesses and some big companies. As I use the tool in Heineken, I know Oracle is an okay security solution. We use and deploy some applications and features from Oracle that are better than what others offer. The data in the tool is actually stored in the production part, so it is always kept a secret. I don't think that AI has been integrated into the tool. The AI used by Oracle is not as strong as that used by AWS. I recommend the tool to others, especially banking, finance, and insurance companies where the security needs to be better. There is maintenance for the tool required, but I don't know which company does it for our organization. I rate the tool a ten out of ten.

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

"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."

"The deployment model allows for significant control and flexibility."

"The setup was straightforward. Just a couple of clicks, and we were done."

"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."

"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

"The solution is easy to use. I am impressed with the tool's features and functionality."

More Google Cloud SQL pros

"It is nice because our developers create tables whenever they need to sync data."

"I rate MongoDB Atlas a nine out of ten."

"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."

"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."

"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."

"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."

"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."

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

More MongoDB Atlas pros

"The solution is stable."

"The scalability and high availability are the most valuable features of Oracle DaaS."

"Not only does it provide a mature, reliable solution for DR. It also helps if application owners need to look into data which is a couple of hours old, using Flashback Database on the standby database."

"I like the solution's performance and ease of development."

"The customer service for this solution is very good. I would rate them a nine out of ten."

"Oracle Database as a Service's most valuable feature is its financial applications."

"What I found most valuable about Oracle Database as a Service is its fast transactions and materialized views."

"We are using Oracle Database as a Service mainly for pulling out audit reports."

More Oracle Database as a Service pros

Cons

"They could improve documentation and dashboard stability for efficient user experience and database management."

"I would like to see better integration with all the different tools on the platform."

"It is hard to do logging with the solution."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."

"The purging of the data could be better."

"The monitoring part could be better."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

More Google Cloud SQL cons

"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."

"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."

"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."

"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."

"The cost needs improvement."

"The tool's implementation should be made easier."

"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."

"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."

More MongoDB Atlas cons

"Debugging this solution is challenging."

"Oracle Database as a Service's initial setup was very complex."

"The solution’s price could be reduced."

"An 8GB download for software is far too big. Nowadays it should be possible to simply use RPM packages on Linux/Unix."

"The solution is not very stable."

"The initial setup could improve."

"Documentation is difficult to find. Since we're experienced with Oracle technology, we have also found many errors in it. Not everything is 100% accurate."

"Pricing for Oracle Database as a Service could be cheaper, so this is an area for improvement."

More Oracle Database as a Service cons

Pricing and Cost Advice

"The solution is affordable."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The pricing is very much an important factor as to why we use this solution."

"It is not expensive, especially considering the significant reduction in database management time."

"You need to pay extra costs for backup and replication."

"I am using the free version of the solution."

"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."

"I have seen the cost, and it was pretty cheap."

"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."

"We pay for a license."

"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."

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

"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."

More MongoDB Atlas pricing and cost advice

"In my opinion, it's not cheap, but every business can decide for itself."

"If your organization is not making that much money, then I don't think you should use the enterprise or any other expensive versions of the solution. I recommend the tool for bigger companies."

"The solution is based on an annual fee."

"The price of Oracle Database as a Service is reasonable."

"The price of Oracle Database as a Service could be better."

"What has been done is that an annual subscription model has been launched, which includes the payment of both the AML (Annual Maintenance Fee) and the subscription fee, paid on a yearly basis."

"The price of Oracle Database as a Service is expensive."

"I do not know firsthand about the price of Oracle Database as a Service, but it is known that Oracle solutions tend to be priced higher than competitors."

More Oracle Database as a Service pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Educational Organization

Comms Service Provider

Computer Software Company

16%

Financial Services Firm

14%

Manufacturing Company

Comms Service Provider

Financial Services Firm

21%

Computer Software Company

11%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	10
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	18
Large Enterprise	31

Questions from the Community

What do you like most about Google Cloud SQL?

The implementation part of the product was easy.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

The cost is expensive, especially for services like BigQuery, which charge based on query operations. We pay as we us...

See all answers

What needs improvement with Google Cloud SQL?

Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities...

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 node...

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?

There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought thro...

See all answers

What do you like most about Oracle Database as a Service?

It has significantly enhanced our application development process by introducing substantial time savings and streaml...

See all answers

What is your experience regarding pricing and costs for Oracle Database as a Service?

The setup cost is approximately four hours.

See all answers

What needs improvement with Oracle Database as a Service?

With the advent of generative AI, adding functionality where current administrative activities could be automated wou...

See all answers

Comparisons

Amazon RDS vs Google Cloud SQL

Compared 36% of the time

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 34% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

IBM Db2 on Cloud vs Google Cloud SQL

Compared 3% of the time

More Google Cloud SQL Competitors

Amazon RDS vs MongoDB Atlas

Compared 20% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 10% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 9% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 7% of the time

Imply Enterprise vs MongoDB Atlas

Compared 4% of the time

More MongoDB Atlas Competitors

Amazon RDS vs Oracle Database as a Service

Compared 42% of the time

Microsoft Azure SQL Database vs Oracle Database as a Service

Compared 13% of the time

Oracle Exadata Cloud at Customer vs Oracle Database as a Service

Compared 10% of the time

Google Cloud Spanner vs Oracle Database as a Service

Compared 8% of the time

More Oracle Database as a Service Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

September 2025

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

September 2025

Download MongoDB Atlas product report

Buyer's Guide

Oracle Database as a Service

September 2025

Download Oracle Database as a Service product report

Also Known As

No data available

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

Oracle DBaaS, Oracle Database Cloud

Overview

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

MongoDB

Oracle Database Cloud Service combines the power of Oracle Database, with the unique capabilities of the Oracle Cloud. The service provides a secure, automated data management platform that leverages on demand Oracle Cloud Infrastructure services via a simple web based user interface and RESTful API. Oracle Database Cloud Service provides elastic database services for development, test, and production environments of custom and packaged online transaction processing (OLTP), data warehousing, and mixed workload applications. It enables businesses to reap all Oracle Platform as a Service (PaaS) benefits including subscriptionbased, self-service access to reliable, scalable, and elastic cloud environments and accelerates time to value by simplifying the provisioning and administration of Oracle databases.

Oracle

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

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

Solution-Soft, DX Marketing, Suredell and Partners, Frontiers, SettleOurEstate.com, Demand Analysis Ltd, endlich IT & Projekt Service OHG

Buyer's Guide

Database as a Service (DBaaS)

September 2025

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