Optimize database with AI assistant

Leverage GibsonAI's text-to-SQL capabilities and Gibson Studio for database optimization and data analysis. Ask questions about your data in natural language and get instant SQL queries and insights to optimize your database performance.

How it works

GibsonAI provides text-to-SQL functionality that allows you to ask questions about your data in natural language. The system automatically generates SQL queries to answer your questions, which you can run directly in Gibson Studio, the intuitive data management UI.

• Text-to-SQL

  Ask questions about your data in natural language

• Gibson Studio

  Intuitive data management UI for running queries and analyzing data

• Instant insights

  Get immediate answers about your data without writing SQL

• API integration

  Access your data through RESTful APIs with automatic documentation

Key Features

Text-to-SQL Analysis

• Natural Language Queries: Ask questions about your data in plain English
• Automatic SQL Generation: GibsonAI generates optimized SQL queries
• Performance Insights: Get recommendations for query optimization
• Data Exploration: Discover patterns and insights in your data

Gibson Studio Integration

• Visual Query Interface: Run generated SQL queries in an intuitive UI
• Real-time Results: See query results instantly
• Data Visualization: Visual representations of your query results
• Query History: Track and reuse previous queries

Database Optimization

• Performance Monitoring: Track query performance automatically
• Index Recommendations: Get suggestions for database indexes
• Schema Optimization: Recommendations for schema improvements
• MySQL Optimization: Specialized optimizations for MySQL databases

Step-by-step guide

1. Analyze database performance

Use text-to-SQL to understand your database performance:

Performance Questions:

• "Which queries are taking the longest to execute?"
• "Show me tables with the most frequent access patterns"
• "What's the average response time for API calls to each table?"
• "Find any slow-running queries in the last week"

2. Optimize data structure

Ask questions about your data structure:

Structure Analysis:

• "Which tables have the most rows?"
• "Show me tables with duplicate data"
• "Find columns that are rarely used"
• "What's the storage size of each table?"

3. Monitor data quality

Use Gibson Studio to monitor data quality:

Quality Checks:

• "Find any null values in required fields"
• "Show me duplicate records across tables"
• "Check for data consistency issues"
• "Identify orphaned records"

4. Access optimized data

Integration options for your applications:

• OpenAPI Spec: Available in your project settings
• Direct Connection: Connection string available in the UI
• RESTful APIs: Base URL https://api.gibsonai.com
  • SQL queries: /v1/-/query
  • Table operations: /v1/-/[table-name-in-kebab-case]
• API Documentation: Available in the data API section of the UI

Example optimization queries

Performance Analysis

-- Generated from: "Show me the slowest performing endpoints"
SELECT
    endpoint,
    AVG(response_time) as avg_response_time,
    COUNT(*) as request_count
FROM api_logs
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 7 DAY)
GROUP BY endpoint
ORDER BY avg_response_time DESC
LIMIT 10;

Data Quality Check

-- Generated from: "Find duplicate email addresses"
SELECT
    email,
    COUNT(*) as duplicate_count
FROM users
GROUP BY email
HAVING COUNT(*) > 1;

Storage Analysis

-- Generated from: "Which tables use the most storage?"
SELECT
    table_name,
    ROUND(((data_length + index_length) / 1024 / 1024), 2) as table_size_mb
FROM information_schema.tables
WHERE table_schema = DATABASE()
ORDER BY table_size_mb DESC;

Use cases

• Schema updates and migrations

  Manage schema changes with automatic zero-downtime migrations

• Unified API layer

  Create consistent data access with automatically generated APIs

• RAG schema generation

  Generate optimized schemas for RAG applications

What's next?