Overview
Rows is an AI-powered spreadsheet and data analysis platform designed for teams to import, analyze, and report on business data without writing SQL queries or complex formulas. It combines traditional spreadsheet functionality with automated data extraction, native API integrations, and AI-assisted calculations. Rows joined Superhuman and continues to provide spreadsheet workspace tools for business teams.
The software enables users to connect data directly from external platforms, uploaded files, and databases into customizable interactive sheets. Users can interact with data using plain language prompts to generate dynamic models, summary tables, charts, and predictive analyses. Finished reports can be published as interactive dashboards or embedded across external platforms while keeping data synchronized.
Key features
- AI Analyst: Generates formulas, summary tables, trend predictions, and visual charts directly from plain-language user prompts.
- Built-in connectors: Integrates directly with over 50 data sources including Google Analytics, Facebook Ads, Notion, Snowflake, and PostgreSQL.
- Document and PDF extraction: Converts text, invoices, images, and unstructured PDF files into structured, editable spreadsheet tables.
- Website data scraping: Extracts data tables from web pages into spreadsheets using the RowsX browser extension.
- Live web embeds: Embeds dynamic tables, charts, and calculators into tools like Notion documents or websites with automatic updates.
- Inline Python execution: Enables users to write and execute Python scripts within spreadsheet cells for advanced data manipulation.
Pros and cons
Pros
- Connects directly to marketing, finance, and database APIs without manual file exports
- Combines natural language AI queries with standard spreadsheet formula functions
- Supports embedding real-time updating charts and calculators on websites and documents
Cons
- Free plan includes only five AI tasks per month
- Automated real-time data table refreshes require paid plan upgrades
Best for
- Data Analysts
- Marketing Teams
- Agencies


