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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 April 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 16.5%, down from 18.6% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.1%, up from 2.7% 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…
RODRIGOPETERSON - PeerSpot reviewer
Leverages cloud capabilities and offers minimal latency with operation model
Customers have less operational burden and more responsibility regarding the management of hardware. Increasing the scale of Oracle Exadata Cloud provides more capacity, higher performance, and expanded storage, CPU, and memory resources. If you need to scale Oracle's capacity up or down, the appliance can be adjusted on-premise. When you purchase Oracle Exadata Cloud, you must acquire either a half or full rack. If you need to increase capacity, you can scale up by adding more hardware. This hardware commitment lasts four to five years, meaning you must maintain this infrastructure and continue payments for that period. While you can scale up to meet increased demands, scaling down is more challenging. I recommend the solution when the customer desires to transition to a cloud-native solution but needs to retain their data in OpenEdge due to compatibility issues or the requirement to interact with on-premise systems to minimize latency. This solution offers minimal latency and modernizes Oracle capabilities through a gateway. Overall, I rate the solution a ten out of ten.

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 highly scalable."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"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 supports different databases, like Postgres and MySQL."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"I like that Oracle Exadata Cloud at Customer is a stable, well-positioned product in the market today, and it's very scalable."
"Performance has significantly improved."
"I am particularly fond of the intelligent capabilities that enhance the backend, utilizing technology to analyze SQL queries."
"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."
"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."
"The operation model is the most valuable feature."
 

Cons

"The only thing that could be better is the pricing."
"The purging of the data could be better."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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 is hard to do logging with the solution."
"The overall documentation and the connectors need improvement."
"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 would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"Scalability is not straightforward."
"The solution is expensive."
"As a customer, you can't see the boot messages of your virtualized guest machines."
"We had some problems in the developer's environment. We had some problems with the initial installation environment."
"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

"The pricing is very much an important factor as to why we use this solution."
"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."
"You need to pay extra costs for backup and replication."
"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 solution is affordable."
"The machine and the cloud model itself already have licensing advantages."
"The price is too much."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
University
8%
Retailer
7%
Financial Services Firm
36%
Manufacturing Company
13%
Computer Software Company
12%
Government
5%
 

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: March 2025.
845,406 professionals have used our research since 2012.