Google Cloud SQL vs IBM solidDB comparison

Google and IBM are both solutions in the Relational Databases Tools category. Google is ranked #18 with an average rating of 7.9, while IBM is ranked #41. Google holds a 1.1% mindshare in SQL, compared to IBM’s 0.7% 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
898 Comparison Views

100% willing to recommend

IBM solidDB

Read 1 IBM solidDB review

384 Views
365 Comparison Views

100% willing to recommend

Google Cloud SQL

IBM solidDB

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Executive Summary

We performed a comparison between Google Cloud SQL and IBM solidDB based on real PeerSpot user reviews.

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To learn more, read our detailed Relational Databases Tools Report (Updated: March 2026).

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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 Relational Databases Tools

18th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th), Database Management Systems (DBMS) (9th)

IBM solidDB

Ranking in Relational Databases Tools

41st

Average Rating

9.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.1%, down from 1.7% compared to the previous year. The mindshare of IBM solidDB is 0.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Google Cloud SQL	1.1%
IBM solidDB	0.7%
Other	98.2%

Relational Databases Tools

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.

Read full review

it_user722241

Senior System Engineer at a comms service provider with 1,001-5,000 employees

No other solution came close to this product's speed and tech support is on a really high level

If you need local DB cache with extreme speed, then go for it, if you need something to work as a distributed cloud database, then solidDB would not be the right decision. With our Telco experience, we help with suggestions for new features and improvements of existing ones for new versions of solidDB. Also, in our labs, we do some pre-alpha testing to help them to complete some new features in the right way.

Read full review

Quotes from Members

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

Pros

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

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

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

"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."

"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."

"This is a stable solution and offers good performance."

"It's all built into the web browser, so any operating system will work."

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."

More Google Cloud SQL pros

"Memory cache DB and carrier grade high availability, best fit to Telco demands."

Cons

"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."

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

"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."

"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 monitoring part could be better."

"The overall documentation and the connectors need improvement."

"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."

"The purging of the data could be better."

More Google Cloud SQL cons

"Data replication and data distribution between multiple nodes definitely have room for improvement here."

Pricing and Cost Advice

"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."

"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."

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

"The solution is affordable."

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

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...

See all answers

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

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Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 22% of the time

Amazon RDS vs Google Cloud SQL

Compared 20% 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

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

SQL Server vs IBM solidDB

Compared 26% of the time

MySQL vs IBM solidDB

Compared 23% of the time

Oracle Database vs IBM solidDB

Compared 18% of the time

Oracle Java DB vs IBM solidDB

Compared 15% of the time

IBM Db2 Database vs IBM solidDB

Compared 9% of the time

More IBM solidDB Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

April 2026

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Buyer's Guide

Relational Databases Tools

March 2026

Download IBM solidDB product report

Also Known As

No data available

solidDB

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

IBM solidDB is a relational database server that combines the high performance of in-memory tables with the nearly unlimited capacity of disk-based tables.

Pure in-memory databases are fast, but strictly limited by the size of memory. Pure disk-based databases allow nearly unlimited amounts of storage, but their performance is dominated by disk access. Even if the computer has enough memory to store the entire database in memory buffers, database servers that are designed for disk-based tables can be slow because the data structures that are optimal for disk-based tables are far from being optimal for in-memory tables. The solidDB solution is to provide a single hybrid database server that contains two optimized engines inside it:

The main-memory engine (MME) is optimized for in-memory access.
The disk-based engine (DBE) is optimized for disk-based access.

Both engines coexist inside the same server process, and a single SQL statement can access data from both engines.

IBM

Sample Customers

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

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Buyer's Guide

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March 2026

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