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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)
4th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
21
Ranking in other categories
No ranking in other categories
IBM Db2 on Cloud
Ranking in Database as a Service (DBaaS)
11th
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 February 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 16.6%, down from 18.9% compared to the previous year. The mindshare of IBM Db2 on Cloud is 1.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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

"Ease of management and the ability to oversee the statistics of your SQL."
"The implementation part of the product was easy."
"The product is 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."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"It supports different databases, like Postgres and MySQL."
"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."
"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 customer support should be improved."
"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 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."
"The overall documentation and the connectors need improvement."
"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"The only thing that could be better is the pricing."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"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."
"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

"It is not expensive, especially considering the significant reduction in database management time."
"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'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."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
12%
Retailer
8%
University
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
Google Cloud SQL is competitively priced compared to other services like RDS from Amazon.
What needs improvement with Google Cloud SQL?
I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL.
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: January 2025.
837,501 professionals have used our research since 2012.