No more typing reviews! Try our Samantha, our new voice AI agent.

CloudBeaver AWS vs Google Cloud SQL comparison

 

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

CloudBeaver AWS
Ranking in Database Management Systems (DBMS)
9th
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Google Cloud SQL
Ranking in Database Management Systems (DBMS)
10th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Database as a Service (DBaaS) (7th), Relational Databases Tools (18th)
 

Mindshare comparison

As of August 2026, in the Database Management Systems (DBMS) category, the mindshare of CloudBeaver AWS is 0.4%. The mindshare of Google Cloud SQL is 3.4%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database Management Systems (DBMS) Mindshare Distribution
ProductMindshare (%)
CloudBeaver AWS0.4%
Google Cloud SQL3.4%
Other96.2%
Database Management Systems (DBMS)
 

Featured Reviews

Kevin Shah - PeerSpot reviewer
Senior Data Scientist at Evolvision Technologies
Browser-based SQL access has streamlined team collaboration but still needs faster queries and better ML integration
CloudBeaver AWS can be improved because in rendering of the queries, if it is very complex or big, the responses in the browser get slowed down. Compared to DBeaver of desktop, it is noticeably very slower on the browser of AWS and heavy data engineering can be done, but it will have very slow responses configured altogether. That needs to be maintained. Even there is no connectivity of machine learning, MLflow kind of thing where Airflow or PySpark approaches can be integrated. Python pipelines can be created but the whole end-to-end machine learning pipeline gets stuck whenever we work out with DBeaver. That again is one of the issues that I would look out for to improve. Also, I need to maintain the infrastructure perfectly here. I need to manage it and need to identify the risks as well. The whole proper setup of VPCs or IAMs needs to be done. It is not a NLQ kind of thing. User queries need to be configured in manual approaches, not automated currently. It should be automated now. Debugging is very painful. That again is a vague approach here. Errors can be executed and we will not be getting out the clarity as well. During this whole approach, the logs are not perfect and intuitive and debugging is also very limited. The user interface and documentation look good, but I would still suggest improvements.
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.

Quotes from Members

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

Pros

"CloudBeaver AWS's interactive dashboards contribute to our organization's data analysis needs, and I find it really good."
"CloudBeaver AWS has impacted us positively in multiple ways."
"CloudBeaver AWS has positively impacted my organization as it reduces our mean time to resolution when verifying data discrepancies."
"CloudBeaver AWS has proven itself as a cost-effective, scalable, and collaborative platform for database management in the cloud."
"My environment looks very fruitful when I look for an ideal solution for teams or organizations."
"CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database."
"CloudBeaver AWS has positively impacted my organization mainly by improving debugging speed, team collaboration, and operational efficiency."
"Since using CloudBeaver AWS, my organization has experienced many positive outcomes."
"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 without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The most valuable features are that it's easy to use, simple, and user-friendly."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
 

Cons

"In terms of drawbacks, CloudBeaver AWS's cloud instances are slower than what local solutions provide. Debugging is not smooth or effective compared to what other databases provide."
"CloudBeaver's web interface slows down or freezes when handling complex queries, for example, with large PL/pgSQL statements or large complex CTEs that can reach 500 lines of queries."
"CloudBeaver AWS already covers most core database management needs very well, but a few improvements could make it even better for teams working with real-time systems and cloud monitoring."
"While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved."
"The performance of CloudBeaver AWS can sometimes lag when making connections."
"CloudBeaver AWS can be improved because in rendering of the queries, if it is very complex or big, the responses in the browser get slowed down; compared to DBeaver of desktop, it is noticeably very slower on the browser of AWS and heavy data engineering can be done, but it will have very slow responses configured altogether."
"CloudBeaver AWS could be better if the official documentation were not sometimes too high-level."
"We see latency issues, so we were forced to introduce an in-memory store."
"The purging of the data could be better."
"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 most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"They could improve documentation and dashboard stability for efficient user experience and database management."
"The product's user interface could be more user-friendly to improve the overall user experience."
"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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
 

Pricing and Cost Advice

Information not available
"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."
"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."
"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."
"The solution is affordable."
report
Use our free recommendation engine to learn which Database Management Systems (DBMS) solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
34%
Media Company
9%
Financial Services Firm
8%
University
8%
Financial Services Firm
15%
Educational Organization
13%
Computer Software Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise3
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
 

Questions from the Community

What needs improvement with CloudBeaver AWS?
CloudBeaver's web interface frequently slows down or freezes when handling complex workloads, such as large PL/pgSQL statements or complex Common Table Expressions (CTEs) exceeding 500 lines. The s...
What is your primary use case for CloudBeaver AWS?
My use case with CloudBeaver AWS is primarily for one customer. We were using DBeaver, but everyone needs to install that complex, heavy desktop software. The client decided that every employee sho...
What advice do you have for others considering CloudBeaver AWS?
Because our team only evaluated the solution for three months, we relied primarily on the basic SQL editor and did not deeply test the advanced collaboration features. I would rate their technical ...
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...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Find out what your peers are saying about CloudBeaver AWS vs. Google Cloud SQL and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.