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 #14 with an average rating of 8.0. Google holds a 7.4% mindshare in DS, compared to IBM’s 2.0% 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 24 Google Cloud SQL reviews

2,805 Views
2,609 Comparison Views

100% willing to recommend

IBM Db2 on Cloud

Read 2 IBM Db2 on Cloud reviews

494 Views
494 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: April 2026).

Buyer's Guide

Google Cloud SQL vs. IBM Db2 on Cloud

April 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

6.2

Number of Reviews

Ranking in other categories

Relational Databases Tools (18th), Database Management Systems (DBMS) (9th)

IBM Db2 on Cloud

Ranking in Database as a Service (DBaaS)

14th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 7.4%, down from 16.5% compared to the previous year. The mindshare of IBM Db2 on Cloud is 2.0%, 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	7.4%
IBM Db2 on Cloud	2.0%
Other	90.6%

Database as a Service (DBaaS)

Featured Reviews

Rituraj NSIT

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

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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

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

"The implementation part of the product was easy."

"The product is scalable."

"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."

"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."

"Ease of management and the ability to oversee the statistics of your SQL."

"Licensing is not applicable; pricing is reasonable."

More Google Cloud SQL pros

"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."

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

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

Cons

"Google Cloud SQL needs to improve its support for high-end I/O operations."

"The product's user interface could be more user-friendly to improve the overall user experience."

"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."

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

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."

"The purging of the data could be better."

"Better integration with other tools could improve this solution."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential."

More Google Cloud SQL cons

"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."

"Nobody is going to like the price."

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

Pricing and Cost Advice

"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."

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

"The solution is affordable."

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

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Educational Organization

12%

Computer Software Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

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 22% of the time

Amazon RDS vs Google Cloud SQL

Compared 21% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 6% of the time

Azure Database for PostgreSQL vs Google Cloud SQL

Compared 4% of the time

More Google Cloud SQL Competitors

Amazon RDS vs IBM Db2 on Cloud

Compared 30% of the time

Microsoft Azure SQL Database vs IBM Db2 on Cloud

Compared 19% of the time

Microsoft Azure Cosmos DB vs IBM Db2 on Cloud

Compared 8% of the time

MongoDB Atlas vs IBM Db2 on Cloud

Compared 8% of the time

SingleStore vs IBM Db2 on Cloud

Compared 7% of the time

More IBM Db2 on Cloud Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

April 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

April 2026

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

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