Quadratic

Founded 2022

Analyze live database records using Python, SQL, and natural language inside a spreadsheet

Pricing model

Paid

You can use Quadratic to analyze complex data across disparate sources in a modern spreadsheet interface. It connects directly to live data stores like Postgres, Snowflake, BigQuery, and QuickBooks, eliminating manual CSV exports. Instead of writing brittle spreadsheet formulas, you can write Python and SQL or use natural language to generate code. It handles massive datasets up to 100 million rows without slowing down. You can also connect external agents through the Model Context Protocol to inspect, verify, and modify your sheet data safely.

What Quadratic does

Query Postgres and Snowflake databases directly in cellsWrite and execute Python scripts inside spreadsheet rowsImport multi-gigabyte CSV and Parquet data filesSync accounting metrics live from QuickBooksConvert natural language questions into Python analysisConnect AI agents using the Model Context ProtocolGenerate financial forecast tables and summariesRun Python and SQL directly inside spreadsheet cellsConnect directly to live databases like Postgres and SnowflakeHandle datasets up to 100 million rows and large Parquet filesIntegrate AI agents using the open Model Context Protocol standardTranslate natural language prompts into readable Python calculationsPull financial metrics automatically from QuickBooks and PlaidAutomate cell updates and data pipelines with a developer API