Google Cloud SQL vs IBM Db2 on Cloud comparison

Google and IBM are both solutions in the Database as a Service (DBaaS) category. Google is ranked #6 with an average rating of 7.9, while IBM is ranked #12 with an average rating of 8.0. Google holds a 7.6% mindshare in DS, compared to IBM’s 1.9% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Google Cloud SQL

Read 23 Google Cloud SQL reviews

2,280 Views
2,189 Comparison Views

100% willing to recommend

IBM Db2 on Cloud

Read 2 IBM Db2 on Cloud reviews

416 Views
416 Comparison Views

100% willing to recommend

Google Cloud SQL

IBM Db2 on Cloud

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Executive SummaryUpdated on Aug 12, 2024

Google Cloud SQL and IBM Db2 on Cloud are popular database services that compete in the cloud database market. While Google Cloud SQL has competitive pricing and excellent support, IBM Db2 on Cloud's advanced features make it worth the investment.

Features: Google Cloud SQL users value its automated backups, seamless integration with other Google services, and robust security. On the other hand, IBM Db2 on Cloud is noted for advanced analytics, scalable architecture, and high performance.

Room for Improvement: Google Cloud SQL could improve its performance during high-load scenarios and offer more customization options. IBM Db2 on Cloud users seek a more intuitive management console and better documentation.

Ease of Deployment and Customer Service: Google Cloud SQL deployment is often described as straightforward and fast, with strong customer support. IBM Db2 on Cloud, while also relatively easy to deploy, can present challenges for users unfamiliar with its environment. IBM's customer service is praised for being proactive and knowledgeable.

Pricing and ROI: Google Cloud SQL offers competitive pricing models and solid ROI due to its efficiency. IBM Db2 on Cloud, although more expensive, delivers substantial value through its advanced features and performance, resulting in a strong ROI.

To learn more, read our detailed Google Cloud SQL vs. IBM Db2 on Cloud Report (Updated: March 2026).

Buyer's Guide

Google Cloud SQL vs. IBM Db2 on Cloud

March 2026

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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 SQL

Ranking in Database as a Service (DBaaS)

6th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Relational Databases Tools (19th), Database Management Systems (DBMS) (9th)

IBM Db2 on Cloud

Ranking in Database as a Service (DBaaS)

12th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 7.6%, down from 16.5% compared to the previous year. The mindshare of IBM Db2 on Cloud is 1.9%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Google Cloud SQL	7.6%
IBM Db2 on Cloud	1.9%
Other	90.5%

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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FarhanFarhan

Database Engineer at Meezan Bank

Multi-node architecture and it is good from a security point of view

I would rate the stability a seven out of ten. Most of the issues we faced during troubleshooting were due to specific bugs in the environment, and the only solution was to upgrade the database environment or services. But it is not easy to upgrade the database level when third-party applications are involved, as they are not always comfortable with upgrading. There should be some cumulative solution provided by IBM for their customers, just like other vendors. Upgrading to a certain version doesn't always resolve the issue. It might get resolved at the database level, but what about the other applications integrated with that database that are only compatible with older versions?

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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

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."

"Google Cloud SQL is highly scalable."

"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."

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

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

"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."

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

More Google Cloud SQL pros

"The reliability is the most valuable feature. It is also user-friendly."

"Multiple business departments rely on reports and predictive analysis to make decisions for future business based on their data warehouse and Db2 network analytics tool. It helps our business department make decisions."

Cons

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."

"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."

"The overall documentation and the connectors need improvement."

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

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"Google Cloud SQL still needs better connectivity to outside, existing data sources."

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

"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."

More Google Cloud SQL cons

"I would give their support a ten if they had more tutorials available."

"In other environments like Oracle or Teradata, they provide their own solutions for troubleshooting issues. They provide built-in AI services or autonomous databases, which I don't see in the Db2 environment."

Pricing and Cost Advice

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

"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."

"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 solution is affordable."

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

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

11%

University

Educational Organization

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

Questions from the Community

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

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...

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What is your primary use case for Google Cloud SQL?

I have been using Google Cloud SQL for two or three years since I started.

See all answers

What needs improvement with IBM Db2 on Cloud?

In other environments like Oracle or Teradata, they provide their own solutions for troubleshooting issues. They provide built-in AI services or autonomous databases, which I don't see in the Db2 e...

See all answers

What advice do you have for others considering IBM Db2 on Cloud?

Since I have worked with almost every product, including IBM, Teradata is far better than any other data warehouse product. It's a separate database with its own features, architecture, and working...

See all answers

What is your primary use case for IBM Db2 on Cloud?

It's a multi-node logical database clustered in three physical nodes. We use a lot of services already provided in our private cloud environment. It's a multi-node architecture.

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 24% of the time

Amazon RDS vs Google Cloud SQL

Compared 23% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

Yugabyte Platform vs Google Cloud SQL

Compared 4% of the time

More Google Cloud SQL Competitors

Amazon RDS vs IBM Db2 on Cloud

Compared 40% of the time

Microsoft Azure SQL Database vs IBM Db2 on Cloud

Compared 29% of the time

More IBM Db2 on Cloud Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

March 2026

Download Google Cloud SQL product report

Buyer's Guide

Database as a Service (DBaaS)

March 2026

Download IBM Db2 on Cloud product report

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

A fully-managed cloud SQL database. Powered by a turbo-charged Db2 engine.

IBM

Sample Customers

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

Owens-Illinois, KONE Corp., Cambridgeshire Fire and Rescue, Canon Europe, Delhaize America, Wimbledon

Buyer's Guide

Google Cloud SQL vs. IBM Db2 on Cloud

March 2026

Free Report: Google Cloud SQL vs. IBM Db2 on Cloud

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