Cloud Databases

Cloud Databases are database services hosted on cloud platforms like AWS, Azure, and Google Cloud. They offer several advantages, including scalability, high availability, and reduced maintenance overhead.  

Here are some popular categories and examples of cloud databases:

1. Relational Databases:

• Amazon Relational Database Service (RDS): Supports various engines like MySQL, PostgreSQL, SQL Server, Oracle.  
• Azure SQL Database: A fully managed relational database service.  
• Google Cloud SQL: Offers managed instances of MySQL, PostgreSQL, and SQL Server.  
• Amazon Aurora: A high-performance, compatible with MySQL and PostgreSQL.  
• Google Cloud Spanner: A globally distributed, scalable, and highly consistent database.  

2. NoSQL Databases:

• Amazon DynamoDB: A key-value and document database with high performance and scalability.  
• Azure Cosmos DB: A globally distributed, multi-model database supporting various data models.  
• Google Cloud Datastore: A NoSQL document database with automatic scaling and geo-replication.  
• Amazon DocumentDB : A fully managed, document-oriented database compatible with MongoDB.  
• Azure Cosmos DB for MongoDB: A fully managed MongoDB experience on Azure.  

3. Data Warehouses:

• Amazon Redshift: A fast, scalable data warehousing service.  

Azure Synapse Analytics: A limitless data analytics service that brings together data warehousing and data lake capabilities.