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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

"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"The initial setup is straightforward."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"It supports different databases, like Postgres and MySQL."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"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."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"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."
"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."
"The operation model is the most valuable feature."
"Performance has significantly improved."
"I am particularly fond of the intelligent capabilities that enhance the backend, utilizing technology to analyze SQL queries."
 

Cons

"The monitoring part could be better."
"Google Cloud SQL needs to improve its support for high-end I/O operations."
"The purging of the data could be better."
"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."
"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."
"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"Scalability is not straightforward."
"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."
"As a customer, you can't see the boot messages of your virtualized guest machines."
"The solution is expensive."
"We had some problems in the developer's environment. We had some problems with the initial installation environment."
"For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity."
 

Pricing and Cost Advice

"From a financial perspective, Google Cloud SQL is on the cheaper side."
"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 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."
"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%
Retailer
7%
Financial Services Firm
36%
Computer Software Company
12%
Manufacturing Company
11%
Insurance Company
6%
 

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: April 2025.
847,646 professionals have used our research since 2012.