Good offering for cloud deployed sidecar.
August 17, 2025
Good offering for cloud deployed sidecar.

Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google Cloud SQL
For certain aspects of the BI Landscape, we required the data to be hosted in the cloud rather than on-premises. Architecture. - A sidecar database is deployed in Google Cloud SQL as a supplement to the main on-premise data warehouse. - Data is replicated from on-prem systems and sensor data - Cloud SQL acts as a read-optimized layer for BI tools and sharing to other cloud services.
Pros
- Performance scaling during peak use.
- Operational Simplicity.
- Avoids licensing costs of expensive middleware to expose on-premise systems to external cloud services.
Cons
- More customer control wrt. backup schedule and retention.
- More granular segmentation for workload limits depending on which pipeline accesses the data to avoid costly errors or misuse.
- Enhanced remote API for stored procedures, enabling initiation from on-premise databases to streamline orchestration and monitoring.
- Rapid Prototyping and Development.
- It was easy to integrate outside once the internal replications were set up.
- Scalability to fit with changing demand.
- MySQL and SAP BW/4HANA
Simple to implement as SaaS.
Do you think Google Cloud SQL delivers good value for the price?
Yes
Are you happy with Google Cloud SQL's feature set?
Yes
Did Google Cloud SQL live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Google Cloud SQL go as expected?
Yes
Would you buy Google Cloud SQL again?
Yes
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