MySQL Optimizer vs AI Query

MySQL Optimizer, powered by EverSQL, automatically rewrites and indexes slow PostgreSQL and MySQL queries so they run faster without a DBA on call. You paste a query, pick your database type and platform, and get an optimized version with an explanation of what changed. A non-intrusive performance sensor can also monitor your databases ongoing and flag redundant indexes or schema tweaks that cut costs.

EverSQL now runs free through Aiven after the acquisition, which is the main shift from standalone paid SaaS tools in this space. Where a human DBA might take hours to trace a slow query plan, MySQL Optimizer customers report queries running about 25 times faster within minutes of applying its suggestions. The sensor never touches sensitive row data, so it fits teams that need optimization without granting broad database access.

Over 100,000 engineers use it, including teams at Nike, Salesforce, and Bank of America. Backend developers, data engineers, and startups without a dedicated DBA get the most value when query performance is blocking releases or inflating cloud bills.

AI Query writes SQL from plain English prompts and explains existing queries back in everyday language. You define your database schema in the dashboard, describe what data you need, and the tool returns queries tuned to PostgreSQL, MySQL, BigQuery, Snowflake, Oracle, and other supported engines. Analysts and developers who know the business question but not the syntax use it to skip manual query drafting.

Unlike generic chatbots that guess table names, AI Query starts from schemas you upload and keeps a history of generated queries you can save and share. The SQL-to-English translator runs the other direction when you inherit a complex statement and need a readable breakdown. Yearly billing also advertises faster response speeds and priority feature access compared to monthly Pro.

Data teams, product managers, and junior developers are the core audience. The Pro plan unlocks unlimited generation, explanations, schema definitions, saved queries, and history through app.aiquery.co, with docs and an API for teams that want to embed the workflow.