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CloudBeaver AWS vs Google Cloud SQL 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

CloudBeaver AWS
Ranking in Database Management Systems (DBMS)
10th
Average Rating
8.2
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Google Cloud SQL
Ranking in Database Management Systems (DBMS)
11th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Database as a Service (DBaaS) (6th), Relational Databases Tools (23rd)
 

Mindshare comparison

As of November 2026, in the Database Management Systems (DBMS) category, the mindshare of CloudBeaver AWS is 0.6%, up from 0.1% compared to the previous year. The mindshare of Google Cloud SQL is 3.2%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database Management Systems (DBMS) Mindshare Distribution
ProductMindshare (%)
CloudBeaver AWS0.6%
Google Cloud SQL3.2%
Other96.2%
Database Management Systems (DBMS)
 

Featured Reviews

KevinShah - 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 positively impacts my organization by improving developer productivity and simplifying database access."
"I recommend CloudBeaver AWS to any enterprise application due to its capabilities in analysis, database storage, management, and visualization tools, and I believe it is better compared to competing solutions."
"CloudBeaver AWS's interactive dashboards contribute to our organization's data analysis needs, and I find it really good."
"CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database."
"My environment looks very fruitful when I look for an ideal solution for teams or organizations."
"Since using CloudBeaver AWS, my organization has experienced many positive outcomes."
"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."
"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."
"Licensing is not applicable; pricing is reasonable."
"It runs really well, it's cheap, it's efficient, it's user-friendly."
"The setup was straightforward. Just a couple of clicks, and we were done."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."
"The deployment model allows for significant control and flexibility."
 

Cons

"CloudBeaver AWS could be better if the official documentation were not sometimes too high-level."
"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 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."
"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."
"There is room for improvement in CloudBeaver AWS, especially in query performance when dealing with large datasets or complex SQL queries."
"The performance of CloudBeaver AWS can sometimes lag when making connections."
"Regarding stability and scalability, I find it quite stable based on our infrastructure. However, with incorrect configurations, we might see issues that include throttling or pool exhaustion, so it is strictly based on configurations."
"While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved."
"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."
"There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Connector. When I click a button such as open configuration on data map configuration, the UI becomes totally white, no text is visible clearly, and it is very frustrating."
"I would like to see better integration with all the different tools on the platform."
"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The overall documentation and the connectors need improvement."
 

Pricing and Cost Advice

Information not available
"The pricing is very much an important factor as to why we use this solution."
"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."
"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."
"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."
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Top Industries

By visitors reading reviews
Construction Company
27%
Outsourcing Company
14%
Media Company
7%
Financial Services Firm
6%
Educational Organization
13%
Financial Services Firm
12%
Comms Service Provider
11%
Computer Software Company
8%
 

Company Size

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

Questions from the Community

What needs improvement with CloudBeaver AWS?
There is room for improvement in CloudBeaver AWS, especially in query performance when dealing with large datasets or complex SQL queries. The SQL editor could also provide better autocomplete func...
What is your primary use case for CloudBeaver AWS?
As an AI engineer in a pharmaceutical company, I primarily use CloudBeaver AWS for database access and management. My main responsibilities include executing SQL queries, checking database records,...
What advice do you have for others considering CloudBeaver AWS?
I would rate CloudBeaver AWS at nine out of ten. I chose nine out of ten because it provides similar features to other editors, but the benefit is that we are using it in a cloud environment. If th...
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...
 

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: September 2026.
921,523 professionals have used our research since 2012.