Google Cloud SQL vs. Oracle MySQL Cloud Service

Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.

Incentivized

It is very scalable and it gives us backup for everything. Because of this feature, we (as a developer) can do any R&D if required. It is very stable so we can get any type of help. It has a recovery feature also which we used recently for my project. It is very easy to recover.

• Very easy to use and migrate existing database systems to Google Cloud SQL system
• Easy to query with real-time query assessment as well as processing metrics to help optimize the queries
• No need to learn any other querying language (like in Hadoop ecosystem), as SQL works pretty fine
• Easy-to-use GCP portal to type in queries and see the results on the screen (no need to go on command line )
• Easy to set up

Incentivized

• Oracle database has ability to store large scale of data.
• It can support any kind of scenario with any label of system.
• Encryption and security is the key features of Oracle database 12c.

• Increasing support for more database engines may enable a wider range of application needs to be met.
• Implementing and updating cutting-edge security features on a constant basis.
• Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.

• It has some issues [when] performing local unit testing in personal edition.
• It is costly if we will go for cloud.
• Need license for some features.

It fits the current needs and bandwith of out lean organization.

Incentivized

As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.

Incentivized

GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.

Incentivized

Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.

Incentivized

It has the most stable database. It smoothly supports [a] huge [amount of] data. Security-wise it is best among them. It is a very large community and has well-defined documentation, which can support [during the] implementation of the Oracle database. We can easily scale up servers whenever [we] change our requirements. Oracle12c is best for large-scale projects like banking and retails.

• The first one is it's performance is very good and it comes up with different solution.
• Security can be improved for external resources or the schemas which are selected in it.
• It can be more fragile so one can use it in the business purposes and this will make it a great product.

Incentivized

• It has ability to handle [a] huge [amount of] data and give [the] best performance
• Easy to write PL/SQA queries
• Secure and encryption option