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Google Cloud SQL vs Oracle Exadata Cloud at Customer comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024

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 Database as a Service (DBaaS)
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
Oracle Exadata Cloud at Cus...
Ranking in Database as a Service (DBaaS)
10th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 15.4%, down from 18.5% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.0%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS)
 

Featured Reviews

Prathap Sankar - PeerSpot reviewer
Gain control and flexibility with customizable tools but has slower performance
I am majorly working in Google Cloud SQL for building my applications 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. The deployment model allows for…
Wilfredo Silva Huaman - PeerSpot reviewer
Reduction in database creation time, provides good performance but challenges when interacting with the OCI console
Overall, I would rate the solution a seven out of ten. However, there are a few things to note. It's not just about being alert with Exadata, but also understanding the OCI console. For instance, companies need to create user group policies to protect against unauthorized access. If you are referencing a compromised system, there's no issue there, because the operating system is Linux. There's no problem when it comes to the basic operations of the database, such as creating, querying, and updating tables. However, we've adopted a new configuration where we're using Docker containers to deploy our applications. This is a new setup for us.

Quotes from Members

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

Pros

"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"It supports different databases, like Postgres and MySQL."
"Ease of management and the ability to oversee the statistics of your SQL."
"The implementation part of the product was easy."
"The deployment model allows for significant control and flexibility."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"The operation model is the most valuable feature."
"The most valuable feature is that it is based on Exadata infrastructure, which is Oracle 's leading engineered system that is trusted, fault-tolerant, and has unique performance features."
"I like that Oracle Exadata Cloud at Customer is a stable, well-positioned product in the market today, and it's very scalable."
"Exporting and importing is easy because of its cleanliness, making the process easier. However, setting up the Data Guard was more difficult. Despite this, the client experienced lower downtime."
"Performance has significantly improved."
"I am particularly fond of the intelligent capabilities that enhance the backend, utilizing technology to analyze SQL queries."
 

Cons

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"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."
"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."
"It is hard to do logging with the solution."
"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."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"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."
"We had some problems in the developer's environment. We had some problems with the initial installation environment."
"Scalability is not straightforward."
"The solution is expensive."
"As a customer, you can't see the boot messages of your virtualized guest machines."
"A room for improvement in Oracle Exadata Cloud at Customer is that they need to train more partners to gain more knowledge because currently, they are keeping a lot to themselves. For example, they are still keeping a lot of information on their campus, so information sharing is limited."
"For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity."
 

Pricing and Cost Advice

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"The solution is affordable."
"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."
"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."
"The price is too much."
"The machine and the cloud model itself already have licensing advantages."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
University
8%
Educational Organization
7%
Financial Services Firm
35%
Manufacturing Company
10%
Computer Software Company
10%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
What is your experience regarding pricing and costs for Google Cloud SQL?
The cost is expensive, especially for services like BigQuery, which charge based on query operations. We pay as we use, with no fixed cost.
What needs improvement with Google Cloud SQL?
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. T...
What do you like most about Oracle Exadata Cloud at Customer?
Exporting and importing is easy because of its cleanliness, making the process easier. However, setting up the Data Guard was more difficult. Despite this, the client experienced lower downtime.
What is your experience regarding pricing and costs for Oracle Exadata Cloud at Customer?
The pricing is reasonable due to a universal agreement, which often positions Oracle solutions better against others. I would rate the pricing an eight out of ten.
What needs improvement with Oracle Exadata Cloud at Customer?
Scalability is not straightforward, as you can scale up and not down. Improvements could be made to make scalability more flexible.
 

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
IBVI, illycaffe, Scottish Water, trueblue, AirAsia, droptank
Find out what your peers are saying about Google Cloud SQL vs. Oracle Exadata Cloud at Customer and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.