AI-POWERED SQL SERVER INDEX OPTIMIZATION
Stop Guessing Which Indexes to Create.
Let AI Analyze Your Workload.
AI SQL Tuner Studio connects to your SQL Server, analyzes your plan cache, index usage stats, and missing index DMVs — then delivers prioritized, ready-to-run index recommendations. No traces required. Results in minutes.
Free Dev Edition available · Works with SQL Server 2017–2025 & Azure SQL
Sound Familiar?
DBAs and developers deal with these index challenges every day
Missing Index Overload
SQL Server suggests dozens of missing indexes, but which ones actually matter? Without workload context, you’re guessing.
Overlapping & Redundant Indexes
Duplicate and near-duplicate indexes waste storage, slow down writes, and increase maintenance windows.
Inefficient Query Patterns
Some slow queries can’t be fixed with indexes alone. Identifying inefficient query patterns requires plan cache analysis most tools skip.
Hours of Manual DMV Analysis
Querying system tables for missing indexes, cross-referencing usage stats, and building CREATE INDEX scripts takes hours.
Three Steps to Optimized Indexes
From connection to actionable recommendations in minutes — no traces required
1
Connect Your Database
Enter your SQL Server connection details. Supports on-premises SQL Server, Azure SQL Database, Azure SQL Managed Instance, and Microsoft Fabric SQL Database.
2
Run Index Tuning
Select the Index Tuning goal and run the analysis. AI SQL Tuner Studio collects index usage stats, missing index DMVs, and plan cache data — then sends it to AI for analysis.
3
Review Your Report
Get a detailed HTML report with prioritized recommendations: indexes to create, indexes to consolidate, query improvements, and statistics updates — all with ready-to-run T-SQL scripts.
Prioritized Recommendations Across 4 Categories
Each recommendation includes priority level, estimated impact, and ready-to-run T-SQL
Create Index Scripts
AI analyzes missing index DMVs and plan cache to recommend new indexes ranked by potential impact on your actual workload.
Index Consolidation
Identifies overlapping, redundant, and unused indexes that can be consolidated or removed to reduce storage and improve write performance.
Query Improvements
Flags inefficient query patterns from the plan cache that prevent index usage, with suggested rewrites to make queries index-friendly.
Statistics Recommendations
Detects outdated or missing statistics that cause the query optimizer to choose poor execution plans, with UPDATE STATISTICS scripts.
How It Compares to Manual Index Tuning
See how AI SQL Tuner Studio compares to other index tuning approaches
| Feature | AI SQL Tuner Studio | sp_BlitzIndex | Database Engine Tuning Advisor | Manual DMV Analysis |
|---|---|---|---|---|
| AI-powered prioritization | Yes — ranks by workload impact | No | No | No |
| Plan cache analysis | Yes — automatic | No | No — requires trace/workload file | Manual — complex queries needed |
| Index consolidation | Yes — finds overlapping indexes | Flags duplicates only | Limited | Manual effort required |
| Inefficient query detection | Yes — flags queries that can’t use indexes, with rewrite suggestions | No | No | No |
| Statistics analysis | Yes — outdated stats flagged | No | No | Separate process |
| Setup time | Minutes — no trace required | Minutes — runs T-SQL scripts | Requires workload trace | Hours of manual work |
| Azure SQL support | Full support | Community-maintained | Not supported | Partial (limited DMVs) |
| Price | Free edition available / From $125/yr | Free (open source) | Free with SQL Server | Your time |
Beyond Index Tuning
AI SQL Tuner Studio includes additional analysis goals
Server Health Check
Comprehensive SQL Server health assessment covering configuration, performance, and best practices.
Database Code Review
AI-powered review of stored procedures, views, and functions for performance and security issues.
Deadlock Analysis
Analyzes deadlock graphs and system health extended events to identify root causes and suggest fixes.
Bring Your Own AI
Use your own Azure OpenAI endpoint and key. Your data stays under your control.
Works With Your SQL Server Environment
Full support for modern SQL Server platforms
SQL Server 2019, 2022 & 2025
Full Support
SQL Server 2017 & Earlier
Supported
Azure SQL Database
Full Support
Azure SQL Managed Instance
Full Support
Microsoft Fabric SQL Database
Full Support
Get Your Index Tuning Report Today
Download AI SQL Tuner Studio and run your first index analysis in minutes
Free Dev Edition
All features included. Limited to development and non-production databases. Free forever.
14-Day Free Trial
Try the full Standard or Pro edition on production databases.
Standard from $125/year · Pro from $250/year · Free Dev Edition forever
Frequently Asked Questions
What SQL Server permissions are required?
Index Tuning requires VIEW SERVER STATE and VIEW DATABASE STATE permissions to read index usage statistics and missing index DMVs. No data is modified on your server.
Which SQL Server versions are supported?
AI SQL Tuner Studio supports SQL Server 2017, 2019, 2022, and 2025, as well as Azure SQL Database, Azure SQL Managed Instance, and Microsoft Fabric SQL Database.
How much does it cost?
The Free Dev Edition is free forever for non-production use. Standard starts at $125/year, Pro at $250/year, and Corporate at $600/year. All paid editions include a 14-day free trial .
What format is the report?
Reports are generated as interactive HTML files you can open in any browser. They include an executive summary, detailed recommendations with priority levels, and ready-to-run T-SQL scripts you can copy directly.
Can I use my own AI endpoint?
Yes. AI SQL Tuner Studio supports Bring Your Own AI (BYOAI) — use your own Azure OpenAI endpoint and key so your data stays under your control and within your organization’s compliance boundaries.
Does AI SQL Tuner Studio do more than index tuning?
Yes. AI SQL Tuner Studio also includes Server Health Check, Database Code Review, and Deadlock Analysis goals. Each goal provides a dedicated AI-powered analysis of different aspects of your SQL Server environment.
