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Google Cloud SQL vs IBM Db2 on Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024

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
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
IBM Db2 on Cloud
Ranking in Database as a Service (DBaaS)
13th
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

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 IBM Db2 on Cloud is 1.7%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Google Cloud SQL10.7%
IBM Db2 on Cloud1.7%
Other87.6%
Database as a Service (DBaaS)
 

Featured Reviews

Prathap Sankar - PeerSpot reviewer
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…
FM
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?

Quotes from Members

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

Pros

"The initial setup is straightforward."
"The implementation part of the product was easy."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"The setup was straightforward. Just a couple of clicks, and we were done."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"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."
"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 monitoring part could be better."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"It is hard to do logging with the solution."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"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 like to see better integration with all the different tools on the platform."
"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."
"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."
"I would give their support a ten if they had more tutorials available."
 

Pricing and Cost Advice

"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."
"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."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"The solution is affordable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Educational Organization
8%
Comms Service Provider
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise9
No data available
 

Questions from the Community

What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
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 use, with no fixed cost.
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 perform better, as Google Cloud SQL takes more time to handle the same tasks. T...
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...
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...
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.
 

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Owens-Illinois, KONE Corp., Cambridgeshire Fire and Rescue, Canon Europe, Delhaize America, Wimbledon
Find out what your peers are saying about Google Cloud SQL vs. IBM Db2 on Cloud and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.