We performed a comparison between Google Cloud SQL and Oracle Database as a Service 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."It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"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 solution is easy to use. I am impressed with the tool's features and functionality."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"Ease of management and the ability to oversee the statistics of your SQL."
"The initial setup is straightforward."
"It supports different databases, like Postgres and MySQL."
"Oracle DBaaS performs well. It's similar to the MS Store."
"The solution is scalable, has support & right incident, and allows easy data recovery."
"The most valuable features of the solution are processing, indexing, monitoring, scalability, network, performance of the clustering, clusters, and availability."
"The solution is stable."
"We value the single data run that the solution provides."
"The most valuable feature is the integration into other Oracle applications."
"It has significantly enhanced our application development process by introducing substantial time savings and streamlining routine tasks."
"It's a scalable product."
"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The customer support should be improved."
"In the case of Google, they need to work on a more easy interface for users."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"The purging of the data could be better."
"They should add more integration to the solution."
"Some of the technical features could be improved. They have a problem with some of the object types. I think this is one of the issues which is needed to be improved."
"There is room for improvement in terms of flexibility."
"The solution’s pricing could be improved."
"Oracle Database as a Service could improve the provisioning. You have to recreate on-premise hardware environments in the cloud, it was not very intuitive."
"The tool needs to improve its pricing and stability."
"Oracle Database as a Service is very convenient to use. However, we need to know to which schema we want it to connect specifically, and what are the username and password. The solution requires some basic knowledge of SQL RP and SQL Oracle to use it."
"There is room for improvement in PL/SQL. It is not user-friendly and it is hard to understand."
Google Cloud SQL is ranked 5th in Database as a Service with 15 reviews while Oracle Database as a Service is ranked 4th in Database as a Service with 63 reviews. Google Cloud SQL is rated 8.4, while Oracle Database as a Service is rated 8.6. 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 Database as a Service writes "Quite stable and renewable with an easy setup". Google Cloud SQL is most compared with Amazon RDS, SQL Azure, MongoDB Atlas, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas Oracle Database as a Service is most compared with Amazon RDS, SQL Azure, Oracle Exadata Cloud at Customer, MongoDB Atlas and Google Cloud Spanner. See our Google Cloud SQL vs. Oracle Database as a Service report.
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