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Google Cloud SQL vs Oracle Exadata Cloud at Customer comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024
 

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service (DBaaS)
5th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
21
Ranking in other categories
No ranking in other categories
Oracle Exadata Cloud at Cus...
Ranking in Database as a Service (DBaaS)
9th
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 December 2024, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 17.2%, down from 19.4% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.2%, up from 1.8% 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 setup was straightforward. Just a couple of clicks, and we were done."
"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."
"This is a stable solution and offers good performance."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"The implementation part of the product was easy."
"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."
"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."
"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."
 

Cons

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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."
"The customer support should be improved."
"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."
"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"The product's user interface could be more user-friendly to improve the overall user experience."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"As a customer, you can't see the boot messages of your virtualized guest machines."
"Scalability is not straightforward."
"For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity."
"The solution is expensive."
"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."
"We had some problems in the developer's environment. We had some problems with the initial installation environment."
 

Pricing and Cost Advice

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"You need to pay extra costs for backup and replication."
"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."
"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."
"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
12%
Retailer
8%
University
6%
Financial Services Firm
37%
Manufacturing Company
13%
Computer Software Company
11%
Government
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 needs improvement with Google Cloud SQL?
When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise. If these files exceed 3 GB, backing them up can be challeng...
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.
 

Learn More

 

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: December 2024.
824,053 professionals have used our research since 2012.