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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)
6th
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
7.8
Reviews Sentiment
4.9
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 10.7%, down from 17.4% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.3%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Google Cloud SQL10.7%
Oracle Exadata Cloud at Customer4.3%
Other85.0%
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 initial setup is straightforward."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"The setup was straightforward. Just a couple of clicks, and we were done."
"Google Cloud SQL is highly scalable."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"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."
"The deployment model allows for significant control and flexibility."
"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"I am particularly fond of the intelligent capabilities that enhance the backend, utilizing technology to analyze SQL queries."
"The operation model is the most valuable feature."
"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."
"Performance has significantly improved."
"I like that Oracle Exadata Cloud at Customer is a stable, well-positioned product in the market today, and it's very scalable."
 

Cons

"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The only thing that could be better is the pricing."
"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."
"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."
"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."
"The product's user interface could be more user-friendly to improve the overall user experience."
"In the case of Google, they need to work on a more easy interface for users."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"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."
"Scalability is not straightforward."
"We had some problems in the developer's environment. We had some problems with the initial installation environment."
"As a customer, you can't see the boot messages of your virtualized guest machines."
"Oracle Exadata Cloud at Customer is stable, but the only problem occurs during OS patching. If you encounter issues, the VMC (virtual machine cluster) becomes unusable."
"For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity."
"The solution is expensive."
 

Pricing and Cost Advice

"From a financial perspective, Google Cloud SQL is on the cheaper side."
"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."
"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."
"You need to pay extra costs for backup and replication."
"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%
Educational Organization
9%
University
7%
Financial Services Firm
33%
Manufacturing Company
11%
Computer Software Company
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise9
By reviewers
Company SizeCount
Small Business4
Large Enterprise4
 

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?
In future updates for Oracle Exadata Cloud at Customer, I would like to see another feature for the different costs for the non-CDB models, because if you are not using the non-CDB models, you have...
 

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: September 2025.
871,829 professionals have used our research since 2012.