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Google Cloud SQL vs Heavy.AI comparison

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Comparison Buyer's Guide

Executive Summary

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
17th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Database as a Service (DBaaS) (7th), Database Management Systems (DBMS) (10th)
Heavy.AI
Ranking in Relational Databases Tools
23rd
Average Rating
8.0
Reviews Sentiment
4.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.3%, down from 1.3% compared to the previous year. The mindshare of Heavy.AI is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Google Cloud SQL1.3%
Heavy.AI0.8%
Other97.9%
Relational Databases Tools
 

Featured Reviews

RituRaj - PeerSpot reviewer
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.
reviewer2886843 - PeerSpot reviewer
Service Cloud Gb Strat High Technology Enterprise Account Executive at a tech vendor with 10,001+ employees
Interactive analytics has revealed territory gaps and now needs simpler, more conversational guidance
I think whenever you're using these tools, you want it to be as conversational as possible, and I think more of that would be helpful for Heavy.AI. Allowing you to ask questions on how to do things inside of Heavy.AI and have it actually show you how to do it as you're doing it would be beneficial. That way you don't have to spend a lot of time trying things out through trial and error. Trial and error can be helpful because you're learning it that way, but at the same time, when you're just trying to do things quickly and you're not a professional or a user that uses it all the time, you might not have that. So you want to be able to get that information quickly and easily. Some aspects I didn't like, but some of it's just like, "of course not." I wish I could snap my fingers and have everything be perfect, but that's not realistic. The infrastructure is probably fairly expensive. I can't afford to do that. I would need my business, the company that I work for to do it for us. Otherwise I can't really do it. It's just expensive. I did feel that it was pretty easy to use, but I'm a little bit more experienced than the average person, so maybe someone less technical like my colleagues would struggle initially to figure it out. I think maybe enhancing the user-friendliness for people that are not coders, just kind of setting up the workflows and things so it's just easier would help. It seems to be more purpose-built for spatial stuff, for location plus time and things, but general purpose BI is kind of an important thing. I don't think people were actually taking advantage of that, and when they're not doing that, it creates a little bit of trouble.

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 is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"The initial setup is straightforward."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"This is a stable solution and offers good performance."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The deployment model allows for significant control and flexibility."
"We did see a saving of time and cost because we had a one-stop shop where we could access GPU utilization along with plotting of geographical data."
"Heavy.AI has helped reduce handling times and improved agent performance significantly."
"Heavy.AI being able to do these things without having that background was powerful for me."
 

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."
"We see latency issues, so we were forced to introduce an in-memory store."
"The overall documentation and the connectors need improvement."
"The customer support should be improved."
"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."
"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."
"The purging of the data could be better."
"The only thing that could be better is the pricing."
"Heavy.AI can be improved since it is a very large and comprehensive tool. For someone who does not have expertise in the tool, they will struggle somewhat, so I think it could be made easier for people."
"My experience with that was expensive to do for myself, so I had to get the company to sort of allow me to do it for Heavy.AI."
"Heavy.AI can be improved in agility to connect with multiple verticals, which is the first area, and the second is to analyze the business processes to prepare solutions for many verticals, as we approach this on a vertical basis."
 

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."
"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."
"It is not expensive, especially considering the significant reduction in database management time."
"The solution is affordable."
"The pricing is very much an important factor as to why we use this solution."
"You need to pay extra costs for backup and replication."
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Top Industries

By visitors reading reviews
Educational Organization
13%
Financial Services Firm
13%
Comms Service Provider
10%
Computer Software Company
8%
Construction Company
29%
Insurance Company
16%
Healthcare Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise5
 

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.
What needs improvement with Google Cloud SQL?
I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...
What is your primary use case for Google Cloud SQL?
I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...
What needs improvement with Heavy.AI?
I think whenever you're using these tools, you want it to be as conversational as possible, and I think more of that would be helpful for Heavy.AI. Allowing you to ask questions on how to do things...
What is your primary use case for Heavy.AI?
I was trying to get an idea of where some of the gaps were in my business specifically, where I should target my efforts using Heavy.AI for interactive analytics or graphics. I was trying to levera...
What advice do you have for others considering Heavy.AI?
I can compare Heavy.AI to some other things, and I was getting things that felt real. I was getting very good accuracy with it. It's hard to know exactly what is and what isn't accurate, but if som...
 

Also Known As

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Overview

 

Sample Customers

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Find out what your peers are saying about Google Cloud SQL vs. Heavy.AI and other solutions. Updated: September 2026.
914,351 professionals have used our research since 2012.