Azure Database Documentation

Introduction to Azure Databases

Azure offers a comprehensive suite of managed database services designed to support a wide range of applications and workloads. These services provide scalability, high availability, security, and robust performance, allowing you to focus on your application development rather than infrastructure management.

Whether you need relational databases, NoSQL solutions, or specialized data analytics services, Azure has a managed offering to meet your needs. Explore the documentation below to find the best service for your project.

Azure SQL Database

Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most database management functions such as upgrading, patching, and backups without user involvement. It is built on the SQL Server engine and offers cloud-native resilience and performance.

Azure Database for PostgreSQL

Azure Database for PostgreSQL is a fully managed relational database service based on the open-source PostgreSQL database engine. It offers flexible deployment options, including Single Server, Flexible Server, and Hyperscale (Citus) to meet varying workload requirements.

Azure Database for MySQL

Azure Database for MySQL provides a managed relational data service for application development and website hosting. It offers a managed environment, allowing developers to focus on rapid application development and acceleration without needing to manage infrastructure.

Azure Cosmos DB

Azure Cosmos DB is a globally distributed, multi-model database service. It offers unparalleled throughput, low latency, and elasticity, along with comprehensive SLAs for availability and performance. Cosmos DB supports multiple data models, including document, key-value, graph, and column-family.

Database Migration

Azure provides tools and services to help you migrate your existing databases to Azure managed services with minimal downtime. The Azure Database Migration Service (DMS) supports various source and target databases.

Performance Tuning and Optimization

Learn how to optimize the performance of your Azure database instances. This includes understanding query performance, indexing strategies, and leveraging Azure's built-in monitoring and scaling capabilities.


-- Example query for performance analysis
SELECT
    qs.total_elapsed_time / qs.execution_count AS average_elapsed_time,
    qs.total_elapsed_time,
    qs.execution_count,
    SUBSTRING(st.text, (qs.statement_start_offset/2)+1,
        ((qs.statement_end_offset - qs.statement_start_offset)/2)+1) AS statement_text
FROM
    sys.dm_exec_query_stats AS qs
CROSS APPLY
    sys.dm_exec_sql_text(qs.sql_handle) AS st
WHERE
    qs.statement_end_offset > 0
ORDER BY
    average_elapsed_time DESC;
                    

Security Best Practices

Securing your data is paramount. Azure database services offer robust security features, including network isolation, authentication, authorization, encryption at rest and in transit, and threat detection.