Database Services

Core Concepts

Understanding the fundamental principles of our database services is crucial for effective utilization. Key concepts include:

Data Modeling: Designing efficient and effective database schemas.
Querying: Retrieving and manipulating data using standard query languages.
Scalability: Mechanisms for handling growing data volumes and user loads.
Security: Implementing robust security measures for data protection.
Replication and High Availability: Ensuring data redundancy and continuous access.

Supported Databases

We provide integrated support for a variety of popular database technologies:

SQL Server: A powerful relational database management system.
Azure Cosmos DB: A globally distributed, multi-model database service.
MySQL: A widely used open-source relational database.
PostgreSQL: An advanced, open-source relational database system.
MongoDB: A popular NoSQL document database.

Each service offers unique advantages. Choose the one that best fits your application's needs in terms of data structure, performance, and scalability.

SQL Server Specifics

For SQL Server, we offer managed instances that provide the full power of SQL Server without the overhead of managing infrastructure. Features include:

Automated backups and patching.
Scalable compute and storage options.
Integration with other Azure services.

Refer to the SQL Server Guide for detailed configuration and management instructions.

Azure Cosmos DB Specifics

Azure Cosmos DB is designed for mission-critical applications requiring elastic scalability and low latency worldwide. Key features:

Guaranteed low latency and high throughput.
Multi-model support (document, key-value, graph, column-family).
Global distribution with multi-master writes.

Explore the Azure Cosmos DB Guide for more information.

API Usage Examples

Interact with your database services seamlessly through our comprehensive APIs. Here's a basic example of how to connect and query using a hypothetical SDK:


// Example: Connecting to a SQL Server database
import { DatabaseClient } from '@msdn/database-sdk';

const client = new DatabaseClient({
    connectionString: 'your_connection_string_here',
    databaseType: 'SQLServer'
});

async function getUsers() {
    try {
        const query = 'SELECT id, name, email FROM Users WHERE isActive = true';
        const users = await client.query(query);
        console.log('Active Users:', users);
    } catch (error) {
        console.error('Error fetching users:', error);
    }
}

getUsers();

For detailed API documentation and SDKs for various languages, please visit the API Reference section.

Important Note

Always use parameterized queries to prevent SQL injection vulnerabilities. The SDKs provided help in automating this.

Best Practices

To ensure optimal performance, security, and cost-effectiveness, follow these best practices:

Optimize Queries: Regularly analyze and tune your SQL queries for efficiency.
Indexing: Implement appropriate indexes to speed up data retrieval.
Data Partitioning: For large datasets, consider partitioning strategies.
Security Auditing: Regularly review access logs and audit trails.
Resource Monitoring: Monitor database performance metrics and scale resources as needed.

Pro Tip

Leverage caching mechanisms like Redis to reduce direct database load for frequently accessed read data.

Troubleshooting

Encountering issues? Consult the following resources:

Database FAQ
Troubleshooting Guides
Community forums for peer support.

If you require further assistance, please reach out to our support team through the Support page.

MSDN Docs