Item: Google Cloud SQL
Rating: 9
Author: Priyanshu Rastogi

Use Cases and Deployment Scope

I am working on a e-commerce website and has to use 2 databases one for transactions for this I used Google Cloud SQL and other I use nosql db.The Google Cloud SQL is easy to setup it is basically a plug and play kind of system.Earlier I am using aws rds has to shift to Google Cloud SQL and used google data migration service for this.

Pros and Cons

easy setup and monitoring
easy migration with network connectivity
easy export and import of data

Google Cloud SQL's performance might not always match that of a dedicated, self-managed database server, especially in scenarios with high throughput or complex queries.
Cost also needs to be reduced currently it is little expensive
Has to add more support of databases.While Google Cloud SQL supports popular database engines like MySQL, PostgreSQL, and SQL Server, it may not support other specialized databases for eg Oracle

Return on Investment

It reduced cost as compared to Amazon RDS
cost of setting up is easier. It also reduces effort of team migrating data
The monitoring service is good easy to debug complex queries reducing time to solve critical issues

Usability

The user interface is good and setting up is easy. The monitoring service is also good. It is easy to monitor and debug bottlenecks. Verical scaling is easy with less downtime as compared to Amazon RDS.Have a multi-tenant architecture, where multiple customers share the same infrastructure but require isolation of their data, can leverage Google Cloud SQL's features for database isolation and security.

Ease of Integration

The documentation of Google Cloud SQL is easy to understand. Have integerated Django application with the Google Cloud SQL. It has a open source client which makes it easy to integerate. The monitoring and logging service makes it easier to integerate other applications

Alternatives Considered

Amazon Relational Database Service (RDS)

Setting up or migrating Google Cloud SQL is easy as compared to AWS. It has a good monitoring and logging mechanism and a good user interface which makes it easy to navigate.It also has a pay as you go pricing which makes it easier to reduce cost. Google Cloud SQL offers features like automatic backups, replication, point-in-time recovery, and automated failover for high availability which makes it a robust architecture

Key Insights

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

Other Software Used

Google Compute Engine, Amazon Elasticsearch Service, Amazon S3 (Simple Storage Service)

Likelihood to Recommend

Have used Google Cloud SQL for e-commerce platforms handling transactions, inventory management, and customer data, Google Cloud SQL offers the reliability and scalability needed to support fluctuating traffic and ensure data integrity.Google Cloud SQL can be used as a backend database for analytics and reporting applications, providing fast access to large volumes of data for complex queries and data analysis.
It is not appropriate for non-supported database like oracle and also not good for migrating legacy systems. It cannot be used for real time data processing because it requires very low latency

Unlocking the Power of Cloud Databases: A Comprehensive Review of Google Cloud SQL

Overall Satisfaction with Google Cloud SQL