AI DBA Assistant
Your intelligent database assistant powered by advanced AI. Ask questions in natural language and get instant, actionable insights.
Overview
The AI DBA Assistant is your virtual database expert that understands natural language queries and provides intelligent responses. It combines deep database knowledge with machine learning to help you troubleshoot issues, optimize performance, and manage your databases more effectively.
Natural Language
Ask questions in plain English, no complex queries needed
Instant Insights
Get immediate answers backed by real-time database metrics
Actionable Advice
Receive step-by-step guidance to resolve issues
How It Works
Natural Language Processing
The assistant uses advanced NLP to understand your question, identifying key entities like database names, table names, metrics, and time ranges.
Context Gathering
The system retrieves relevant data from your database metrics, query history, performance logs, and configuration settings to provide context-aware responses.
Intelligent Analysis
AI models trained on database best practices analyze the data and generate insights, recommendations, and solutions tailored to your specific situation.
Response Generation
The assistant formulates a clear, actionable response with visualizations, code snippets, and step-by-step instructions when applicable.
How to Ask Questions
The AI Assistant understands a wide variety of questions. Here are some tips for getting the best responses:
Be Specific
Include database names, time ranges, and specific metrics: "Show me slow queries on production_db from the last hour"
Use Natural Language
Ask questions as you would to a colleague: "Why is my database slow?" or "How can I improve this query?"
Provide Context
Mention what you're trying to accomplish: "I need to reduce memory usage" or "Preparing for Black Friday traffic"
Follow Up
The assistant remembers context, so you can ask clarifying questions: "Show me more details" or "What about table X?"
Example Queries and Responses
"Why is my database CPU usage so high?"
AI Response: I've analyzed your database metrics and identified 3 main factors contributing to high CPU usage:
- 15 queries without proper indexes are causing full table scans (consuming 65% CPU)
- Connection pool is undersized with 200 active connections competing for resources
- Weekly analytics job running during peak hours
RECOMMENDED ACTIONS:
- Add indexes to the 15 identified queries (I can generate these for you)
- Increase connection pool size to 300
- Reschedule analytics job to 2 AM
"Show me the slowest queries from yesterday"
AI Response: Here are the top 5 slowest queries from yesterday (Feb 6, 2026):
SELECT * FROM orders WHERE created_at > ...SELECT u.*, COUNT(o.id) FROM users u JOIN...💡 Click any query to see optimization recommendations
"How can I optimize this query: SELECT * FROM users WHERE email LIKE '%@gmail.com'"
AI Response: This query has several optimization opportunities:
ISSUES DETECTED:
- SELECT * retrieves unnecessary columns
- LIKE with leading wildcard prevents index usage
- Full table scan on 2.3M rows
OPTIMIZED QUERY:
-- Add domain column with index ALTER TABLE users ADD COLUMN email_domain VARCHAR(255); UPDATE users SET email_domain = SUBSTRING_INDEX(email, '@', -1); CREATE INDEX idx_email_domain ON users(email_domain); -- Optimized query SELECT id, name, email FROM users WHERE email_domain = 'gmail.com';
Expected improvement: Query time reduced from 2.8s to 45ms (98% faster)
Best Practices
Start Broad, Then Narrow
Begin with general questions to get an overview, then ask follow-up questions to drill down into specific issues or recommendations.
Verify Recommendations
Always test AI recommendations in a staging environment before applying them to production databases.
Use Time Ranges
Specify time ranges for more accurate analysis: "in the last hour", "yesterday", "during peak hours" for context-specific insights.
Leverage Conversation History
The assistant remembers your conversation context, so you can reference previous responses: "Apply that to table Y" or "What about the second query?"
Ask for Explanations
Don't hesitate to ask "why" or "how does this work?" to better understand recommendations and learn database optimization principles.
Share Feedback
Rate responses (thumbs up/down) to help improve the AI's accuracy. Your feedback trains the model to provide better recommendations.
Pro Tip: Use Quick Actions
The assistant can generate and execute actions for you. Try asking "Show me and fix all missing indexes" or "Create an optimization report for last week" to save time.
Configuration Options
| Setting | Description | Default |
|---|---|---|
| Response Detail Level | Control verbosity of responses: Brief, Standard, or Detailed | Standard |
| Auto-Execute Safe Actions | Allow assistant to run read-only queries automatically | Enabled |
| Context Retention | Number of previous messages to remember for context | 10 messages |
| Include Visualizations | Show charts and graphs in responses when relevant | Enabled |
| Default Time Range | Default lookback period when not specified in query | Last 24 hours |
| Database Scope | Limit assistant to specific databases or allow all access | All databases |
Note: These settings can be configured in Settings → AI Assistant or by asking the assistant directly: "Change response detail to brief"
Ready to Talk to Your Database?
Start asking questions and get instant insights from your AI DBA Assistant