We performed a comparison between Google Cloud SQL and Oracle Exadata Cloud at Customer based on real PeerSpot user reviews.
Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution is easy to use. I am impressed with the tool's features and functionality."
"This is a stable solution and offers good performance."
"It supports different databases, like Postgres and MySQL."
"The setup was straightforward. Just a couple of clicks, and we were done."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The implementation part of the product was easy."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"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."
"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."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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."
"The purging of the data could be better."
"The monitoring part could be better."
"I would like to see better integration with all the different tools on the platform."
"The only thing that could be better is the pricing."
"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."
"For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity."
"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."
"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."
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Google Cloud SQL is ranked 5th in Database as a Service with 16 reviews while Oracle Exadata Cloud at Customer is ranked 9th in Database as a Service with 5 reviews. Google Cloud SQL is rated 8.4, while Oracle Exadata Cloud at Customer is rated 8.4. The top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". On the other hand, the top reviewer of Oracle Exadata Cloud at Customer writes "Reduction in database creation time, provides good performance but challenges when interacting with the OCI console". Google Cloud SQL is most compared with Amazon RDS, SQL Azure, MongoDB Atlas, Oracle Database as a Service and IBM Db2 on Cloud, whereas Oracle Exadata Cloud at Customer is most compared with Oracle Database as a Service, Amazon RDS, Google Cloud Spanner and MongoDB Atlas. See our Google Cloud SQL vs. Oracle Exadata Cloud at Customer report.
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