Seeking Feedback: Data Observability and Query Performance Monitoring Tool

Hello, Hacker News community,

I'm ideating on a tool for data engineers and analysts focused on data observability and query performance monitoring. Here's what it aims to offer:

1. Real-Time Query Monitoring: Track and identify slow-performing queries. 2. Data Observability: Monitor data freshness/staleness, data sync, schema changes, accuracy, and anomalies. 3. Root Cause Analysis: Use ML to diagnose and fix performance and quality issues. 4. Unified Dashboard: Centralized view for monitoring and alerts.

Seeking Your Input on the following

1. Pain Points: What are your biggest challenges in these areas? 2. Current Solutions: How do you manage these issues today? 3. Gaps: What’s missing from existing tools? Most tools for query performance monitoring are focused on SQL. How about non-SQL queries? 4. Wishlist: What features would your ideal tool include?

Your feedback will be invaluable. Thanks!