Q1: Which of the deployment is Iaas or Paas
Azure SQL: Azure SQL is a family of managed, secure, and intelligent products that use the SQL Server database engine in the Azure cloud (Iaas)
SQL Managed Instance: is a Platform-as-a-Service (PaaS) service that has near 100% compatibility with the latest Enterprise Edition SQL Server database engine (Paas)
SQL Database:is a cloud-based database service that provides a relational SQL database in the cloud (Paas)
Azure SQL Managed Instance: including its Instance Pool feature, is considered a Platform as a Service (PaaS)
Azure SQL Database: elastic pools are a simple, cost-effective solution for managing and scaling multiple databases with varying and unpredictable usage demands. The databases in an elastic pool are on a single server and share a set number of resources at a set price. Elastic pools in SQL Database enable software-as-a-service (SaaS)
Q2: What is a manage service??????
Managed Services offers a comprehensive suite of services and tools that can help organizations manage and scale their IT infrastructure on the cloud. Compared to other cloud service providers, Azure has a strong focus on enterprise-level features, such as compliance management, security, and hybrid cloud integration.
Q3: You are moving an application and data base to your azure, but your data base is currently 62TB and will continue to grow.which azure SQL deployment option will be easiest to use???
For a large and growing database like yours (62TB and increasing), the Azure SQL Database Hyperscale option would be the most suitable. Hyperscale is designed to handle large-scale databases and offers the following benefits:
Scalability: It can scale up to 100TB per database, which accommodates your current size and future growth.
Performance: It provides high performance with rapid scaling of storage and compute resources.
Flexibility: You can scale storage and compute independently, allowing for cost-effective management1.
Backup and Restore: Fast backup and restore capabilities, which are crucial for large database