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Google Cloud SQL pros and cons

Vendor: Google
4.2 out of 5
367 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Google Cloud SQL offers a straightforward initial setup process with just a few clicks needed.
It is highly scalable, allowing for efficient handling of large datasets and infrastructure changes.
The platform provides robust data safety and various storage options, ensuring data security and redundancy.
It handles management tasks, enabling users to focus on applications without worrying about operational issues like backups and scaling.
Google Cloud SQL supports multiple databases and offers high availability, enhancing its flexibility and performance.

CONS

Google Cloud SQL provides a public IP address despite customizable access control lists.
There is a need for better connectivity to existing external data sources.
Google Cloud SQL's documentation is lacking, impeding adequate preparation for certification exams.
Handling legacy data migration is challenging when integrating into a new setup.
Pricing could be improved for more competitiveness.
 

Google Cloud SQL Pros review quotes

it_user1084104 - PeerSpot reviewer
Dec 15, 2019
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.
it_user1124367 - PeerSpot reviewer
Jul 31, 2019
The most valuable features are that it's easy to use, simple, and user-friendly.
LJ
Jul 16, 2024
It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs.
Learn what your peers think about Google Cloud SQL. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
831,020 professionals have used our research since 2012.
reviewer1992282 - PeerSpot reviewer
Oct 20, 2022
The initial setup is straightforward.
JO
Apr 25, 2022
It's SQL. SQL is so easy if you know something about databases. It's easy to learn.
Aakash Sharma - PeerSpot reviewer
May 25, 2022
It supports different databases, like Postgres and MySQL.
it_user927078 - PeerSpot reviewer
Sep 25, 2018
The setup was straightforward. Just a couple of clicks, and we were done.
Prathap Sankar - PeerSpot reviewer
Dec 3, 2024
The deployment model allows for significant control and flexibility.
JH
Feb 8, 2024
The implementation part of the product was easy.
RF
Sep 14, 2023
What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications.
 

Google Cloud SQL Cons review quotes

it_user1084104 - PeerSpot reviewer
Dec 15, 2019
Google Cloud SQL still needs better connectivity to outside, existing data sources.
NB
Feb 12, 2024
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.
it_user1124367 - PeerSpot reviewer
Jul 31, 2019
I would like to see better integration with all the different tools on the platform.
Learn what your peers think about Google Cloud SQL. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
831,020 professionals have used our research since 2012.
LJ
Jul 16, 2024
When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise.
reviewer1992282 - PeerSpot reviewer
Oct 20, 2022
The purging of the data could be better.
JO
Apr 25, 2022
In the case of Google, they need to work on a more easy interface for users.
Aakash Sharma - PeerSpot reviewer
May 25, 2022
The monitoring part could be better.
it_user927078 - PeerSpot reviewer
Sep 25, 2018
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.
Prathap Sankar - PeerSpot reviewer
Dec 3, 2024
The overall documentation and the connectors need improvement.
JH
Feb 8, 2024
For data analysis, the AI area of the product has certain shortcomings where improvements are required.