Google Cloud SQL vs. SAP Adaptive Server Enterprise (ASE), legacy

Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.

Incentivized

High-performance, high-concurrency transactions are well suited for ASE. ASE is lacking some features in my opinion such as history tables, however there are ways to implement them via workarounds or by using Replication Server. I do think the way the ASE parser and optimizer works are far superior to other products as it is a true cost-based optimizer and the order of the tables in the FROM clause does not really matter although a good SQL coder will place the tables in a meaningful order to make the SQL more readable. ASE is good for applications that require high availability and can be used for mission critical systems.

Incentivized

• Highly scalable without worrying about sudden transaction explosion during peak hours.
• Highly available with multiple geographical locations and regions for nearly 0 downtime to the users.
• Extremely reliable and responsive for high latency applications due to superb networking at the core.

Incentivized

• Easy to setup and maintain
• Reliable, rarely has major hiccups requiring reboots or crashes
• Very responsive with complicated queries spanning various tablespaces and hundreds of millions of rows

Incentivized

• 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.

• Full database encryption - need to utilize external keys vs internal - for better separation of duties.
• History Tables.

Incentivized

Our licenses are perpetual. It is the support that we will be renewing. We will renew because we continue to use and receive value from the product.

Incentivized

On demand scalability helps us provision extra resources as per our requirement and load on the application. Reduced cost due to fully managed services and no need to manage underlying infrastructure which reduced time of patching and maintaining underlying infrastructure. Easy to configure as per application requirements. Supports monitoring which is not available in custom hosted database instance on own computing infrastructure

Incentivized

It does almost everything we need and for the things it doesn't do natively, we are still able to do using other features. For example, natively history tables weren't supported but we were able to create them using triggers.

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

Incredibly responsive, saving us countless hours in troubleshooting.

Incentivized

Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.

Incentivized

Much less effort than Oracle. Much better customer support than Oracle. Roughly equivalent to SQL Server in performance and ease of use. Much better customer service than SQL Server. Different ballpark from IQ. Same customer service.

Incentivized

• With managed database system, it has given us near 100% data availability
• It has also improved web layer experience with faster processing and authentication using database fields
• Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis

Incentivized

• Negative - Costs a lot ... but so do they all.
• Positive - It does what we need it to do.

Incentivized