Supported dialects
PostgreSQL, MySQL, SQL Server (T-SQL), BigQuery, Snowflake, Redshift, SQLite, MariaDB, and standard SQL. Each uses its own keyword list and indentation rules: picking the right dialect avoids accidental keyword mis-casing.
Privacy
The SQL you paste never leaves your browser. The open-source sql-formatter library is loaded as part of the page bundle and runs entirely client-side.
Why your IDE’s output differs
Every formatter has style opinions: comma placement, JOIN indenting, CASE alignment. The defaults here match the most widely-used conventions; toggle the options to match your team’s house style.
Skip writing SQL entirely
For analytics, you do not actually need to write SQL. FireAI converts natural-language questions into SQL queries on top of your data - how NLQ-to-SQL works.
Get this calculator running on your live data
Try FireAI free — go from one-off calculations to a live dashboard updated every hour.
Frequently asked questions
Related guides & answers
Go deeper on the topics behind this data & developer tool.
How-to
NLQ to SQL: How AI Turns Plain Questions into Database Queries
Ask "who are my top customers?" and get SQL results instantly. Learn how NLQ-to-SQL works under the hood, accuracy benchmarks, and which tools do it best in 2026.
Guide
What is Text to SQL?
Text to SQL is AI that turns a plain-language question into a SQL query and returns the answer. A short definition, with a link to the full NL to SQL guide.
Guide
What is No-Code Analytics? Definition, Tools, and Benefits
No-code analytics lets business users analyse data, build dashboards, and generate insights without writing SQL or code.
Comparison
Python vs BI Tools: Which Should You Use?
Should your business use Python or a BI tool for data analytics? Compare Python vs BI tools across ease of use, speed, scalability, and cost — with guidance for Indian businesses on which approach is right for them.