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