Database slow query analysis and SQL troubleshooting
When a database slows down, slow queries are usually the first place to look. NineData helps teams collect slow SQL, identify bottlenecks, and get optimization suggestions across multiple database types.
Why slow query analysis matters
Slow query management is often hard because:
- Many tools support only a small set of databases.
- Raw slow logs are hard to read and even harder to triage.
- Real analysis usually takes DBA experience and time.
- Building a full collection and analysis platform is expensive to maintain.
What NineData Slow Query Analysis does
NineData Slow Query Analysis automatically collects and analyzes slow queries, then provides optimization suggestions for each query.
- Multi-data source support: Manage slow queries from multiple database types in one place.
- Slow query collection: Record slow SQL, execution time, and returned rows.
- Slow query diagnosis: Identify likely causes such as missing indexes, poor table design, or inefficient SQL.
- Slow query optimization: Suggest index changes, table adjustments, and SQL rewrites.
- SaaS platform ready to use: Start from a browser without complex installation or maintenance.
What it helps you do
- Improve database performance: Find and optimize slow queries to improve stability and throughput.
- Save time: Automate slow query collection and analysis instead of doing it manually.
- Reduce business risk: Catch problematic SQL before it causes outages or user-facing issues.
Common use cases
- Performance tuning: Find why a database or query has become slow.
- Operations and maintenance: Monitor database performance and respond to issues faster.
- Development and testing: Review business SQL before it goes live.
Example results
Collect slow logs and aggregate them
Analyze slow SQL and provide optimization suggestions
