Question 1

What is QueryInsights?

Accepted Answer

QueryInsights is an AI-powered SQL performance and query optimization tool. It watches your live database workload, identifies the slow queries and query patterns that hurt performance, and suggests specific rewrites and schema changes — so your team fixes the highest-impact problems first.

Question 2

Which databases and query engines does QueryInsights support?

Accepted Answer

QueryInsights works with PostgreSQL, MySQL, and Trino, and is built to extend to other SQL engines. Whether you run a transactional Postgres or MySQL database or a distributed Trino query engine, it captures the real workload and analyzes it the same way.

Question 3

Why is my SQL query slow?

Accepted Answer

A SQL query is usually slow because it scans more data than it needs, filters too late, joins inefficiently, or is missing an index. QueryInsights acts as a query profiler and database advisor: it pinpoints which of your query patterns are slow and why, then recommends the specific change to fix it — instead of leaving you to guess from a query plan.

Question 4

How does QueryInsights find slow queries?

Accepted Answer

It captures the queries that actually run, normalizes them into patterns by stripping out literal values, and ranks those patterns by frequency and impact. Instead of scrolling through thousands of individual statements, you see the handful of slow query patterns that account for most of your database load.

Question 5

How do I speed up a slow SQL query?

Accepted Answer

Speeding up a slow query usually means scanning less data, filtering earlier, fixing the join or projection, or adding the right index. QueryInsights does this analysis for you: it captures the query that's taking too long, grounds an AI review in your real schema, and returns a ready-to-ship rewrite plus any index that improves query response time.

Question 6

What kind of query optimization recommendations does it generate?

Accepted Answer

Two complementary kinds. Per-query rewrites show how a specific slow query can be written better — predicate ordering, join shape, projection scope, and engine-specific tuning. Workload-level advice recommends indexes, schema, and storage-layout changes that speed up your entire access pattern, not just one query.

Question 7

Is QueryInsights a replacement for EXPLAIN or query plans?

Accepted Answer

No — it complements them. EXPLAIN and execution plans tell you how one query runs right now; QueryInsights tells you which queries across your whole workload are worth optimizing and hands you a concrete fix, grounded in your real schema, so you spend less time reading query plans by hand.

Question 8

Can QueryInsights reduce my database costs?

Accepted Answer

Often, indirectly. Slow queries burn CPU, scan extra data, and tie up resources. On cloud and managed databases where you pay for query compute or scanned data, optimizing your heaviest query patterns lowers database resource usage and can reduce compute costs. QueryInsights ranks patterns by impact so you cut the most expensive ones first.

Question 9

How does QueryInsights capture my queries?

Accepted Answer

Two non-invasive paths: webhook-based capture from engines that emit query events, and lightweight pollers that read query statistics directly from the database. There is no proxy in front of your traffic and no SDK in your application, so it can never affect latency or availability.

Question 10

Do I need to change my application code?

Accepted Answer

No. QueryInsights observes your database performance from the side. There are no driver changes, no SDKs, and no code changes required to start getting slow-query analysis and optimization recommendations.

Question 11

Is QueryInsights available today?

Accepted Answer

QueryInsights is in early access. Reach out to be notified when it opens up more broadly and to get help connecting your PostgreSQL, MySQL, or Trino workload.

Let's make your database faster.