OmniPro DB

Enterprise-grade database management system built on SurrealDB with integrated machine learning capabilities.

Features

Core Database Operations

• CRUD operations
• Schema management
• Migration tools
• Query optimization

SurrealML Integration

• Built-in machine learning capabilities
• Model training and prediction
• Automated feature engineering
• Real-time inference

Security

• Role-based access control
• Query sanitization
• Audit logging
• Encryption at rest

Monitoring & Telemetry

• OpenTelemetry integration
• Performance metrics
• Anomaly detection
• Real-time alerting

Setup

1. Install SurrealDB
2. Configure environment variables
3. Initialize the database
4. Start the service

Usage

Basic Operations

// Connect to database
let db = DatabaseManager::new(config).await?;

// Execute query
let result = db.execute_query("SELECT * FROM users").await?;

ML Operations

// Train model
let model = db.train_model("SELECT * FROM training_data", "target_column").await?;

// Make predictions
let prediction = db.predict("model_name", input_data).await?;

Monitoring

Monitor your database using the integrated telemetry:

// Record custom metric
telemetry.record_metric("query_count", 1.0, vec![("type", "select")]);

// Track operation latency
telemetry.record_latency("query_execution", duration);

Configuration

See config.example.yaml for configuration options.

Security Best Practices

1. Use RBAC for access control
2. Enable encryption
3. Regular security audits
4. Monitor suspicious activities

Performance Optimization

• Index management
• Query optimization
• Resource allocation
• Caching strategies

Contributing

See CONTRIBUTING.md for guidelines.

License

Proprietary software. All rights reserved.