tentative Kubernetes deployment configuration

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buenosairesam
2025-08-25 04:00:42 -03:00
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In AWS, **Amazon RDS (Relational Database Service)** and **Amazon Aurora** are the main managed database services.
The **Google Cloud Platform (GCP)** equivalents are:
* **Amazon RDS ↔ Cloud SQL**
* AWS RDS supports PostgreSQL, MySQL, MariaDB, Oracle, and SQL Server.
* GCP Cloud SQL supports PostgreSQL, MySQL, and SQL Server.
* Both are fully managed relational databases with backups, scaling, and maintenance.
* **Amazon Aurora ↔ Cloud SQL / AlloyDB**
* Aurora is a cloud-native relational database compatible with MySQL and PostgreSQL, offering better performance and replication.
* GCP has two options:
* **Cloud SQL** (for standard workloads).
* **AlloyDB for PostgreSQL** (for high performance, cloud-native PostgreSQL, closer to Aurora in positioning).
* **Amazon DynamoDB ↔ Cloud Bigtable / Firestore**
* DynamoDB is a fully managed NoSQL database.
* In GCP, depending on the use case:
* **Cloud Bigtable** is used for large-scale, wide-column workloads.
* **Firestore** (and older Datastore) is used for document-based NoSQL apps.
* **Amazon Redshift ↔ BigQuery**
* Redshift is AWSs data warehouse.
* BigQuery is GCPs serverless, highly scalable data warehouse.
Would you like me to prepare a **side-by-side table** with AWS → GCP database service mappings for quick reference?