Google Cloud SQL vs MongoDB Atlas comparison

Google and MongoDB are both solutions in the Database as a Service (DBaaS) category. Google is ranked #5 with an average rating of 8.1, while MongoDB is ranked #3 with an average rating of 8.4. Google holds a 17.2% mindshare in DS, compared to MongoDB’s 15.5% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 98% of MongoDB users who would recommend it.

Google Cloud SQL

Read 21 Google Cloud SQL reviews

4,054 Views
3,702 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,757 Views
2,804 Comparison Views

98% willing to recommend

Google Cloud SQL

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

Google Cloud SQL and MongoDB Atlas compete in the managed database services category. Google Cloud SQL has the upper hand in SQL database management, while MongoDB Atlas is better suited for NoSQL databases with flexible schema design.

Features: Google Cloud SQL offers automated backups, high availability, and seamless integration with other Google Cloud services. MongoDB Atlas includes rich querying capabilities, horizontal scaling, and global clusters.

Room for Improvement: Google Cloud SQL needs better cost management tools and more comprehensive logging features. MongoDB Atlas can improve support responsiveness and documentation clarity.

Ease of Deployment and Customer Service: Google Cloud SQL is known for its straightforward deployment process and robust customer service. MongoDB Atlas is easy to deploy but has slightly lower marks for customer service.

Pricing and ROI: Google Cloud SQL is more affordable, especially for smaller projects, with good ROI through efficient resource management. MongoDB Atlas, while offering significant features, is seen as relatively more expensive.

To learn more, read our detailed Google Cloud SQL vs. MongoDB Atlas Report (Updated: December 2024).

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

December 2024

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Categories and Ranking

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

5th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

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

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 SQL is 17.2%, down from 19.4% 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

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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AhmetÖzdemir

Senior Database Administrator at Türk Telekom

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.

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Quotes from Members

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

Pros

"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."

"The product is scalable."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

"The initial setup is straightforward."

"It supports different databases, like Postgres and MySQL."

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

"The implementation part of the product was easy."

"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."

More Google Cloud SQL pros

"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

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

"It enables us to get work done quickly and get to our data."

"I find MongoDB Atlas highly scalable and easy to use, with very good support."

"It's a good solution for NoSQL databases."

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

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

"The product provides quick transaction service, high availability, and efficient scalability features."

More MongoDB Atlas pros

Cons

"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."

"The monitoring part could be better."

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

"In the case of Google, they need to work on a more easy interface for users."

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

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

"The purging of the data could be better."

"The only thing that could be better is the pricing."

More Google Cloud SQL cons

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

"We need improved query performance."

"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."

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

"There are some features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud."

"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."

"The product does not have ORM."

"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."

More MongoDB Atlas cons

Pricing and Cost Advice

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

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

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

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

"The solution is affordable."

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

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

"Pricing could always be better."

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

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

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

"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."

"It is too expensive. They need to work on this."

"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."

"The price of MongoDB Atlas is highly affordable."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Retailer

University

Computer Software Company

18%

Financial Services Firm

15%

Healthcare Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 solution is expensive.

See all answers

What needs improvement with Google Cloud SQL?

When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise. If these files exceed 3 GB, backing them up can be challeng...

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?

I am using the free version of the solution.

See all answers

What needs improvement with MongoDB Atlas?

Searching and browsing through the collection must be made easier.

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 40% of the time

Amazon RDS vs Google Cloud SQL

Compared 35% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 2% of the time

IBM Db2 on Cloud vs Google Cloud SQL

Compared 2% of the time

More Google Cloud SQL Competitors

Amazon RDS vs MongoDB Atlas

Compared 53% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 18% of the time

Google Cloud Spanner vs MongoDB Atlas

Compared 4% of the time

Upstash vs MongoDB Atlas

Compared 3% of the time

Oracle Exadata Cloud at Customer vs MongoDB Atlas

Compared 2% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

December 2024

Download Google Cloud SQL product report

Buyer's Guide

MongoDB Atlas

December 2024

Download MongoDB Atlas product report

Also Known As

No data available

Atlas

Learn More

Google

MongoDB

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.

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.

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.

Buyer's Guide

Google Cloud SQL vs. MongoDB Atlas

December 2024

Free Report: Google Cloud SQL vs. MongoDB Atlas

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