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."Ease of management and the ability to oversee the statistics of your SQL."
"This is a stable solution and offers good performance."
"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."
"The initial setup is straightforward."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"It supports different databases, like Postgres and MySQL."
"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."
"I am particularly fond of the intelligent capabilities that enhance the backend, utilizing technology to analyze SQL queries."
"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 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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The only thing that could be better is the pricing."
"The customer support should be improved."
"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."
"The monitoring part 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."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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."
"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."
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Google Cloud SQL is ranked 4th in Database as a Service with 16 reviews while Oracle Exadata Cloud at Customer is ranked 9th in Database as a Service with 4 reviews. Google Cloud SQL is rated 8.4, while Oracle Exadata Cloud at Customer is rated 8.0. 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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