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Rows

Rows

Analyze data with AI, connect business APIs, and build lightweight dashboards without code.

Data VisualizationDataSpreadsheetsData VisualizationTrial

Rows is a next-generation smart spreadsheet with a built-in AI data analysis assistant and direct connections to business APIs. It helps finance, marketing, and operations teams explore data, build dashboards, and automate lightweight workflows without code.

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Updated

2026-10-22

Platforms

Web

Freemium

Free tier: Basic spreadsheet features and limited AI analysis credits.Paid plans: Approximately $6-$14 per person/month for unlimited AI credits, advanced API integrations, and team collaboration features.

* Pricing is for reference only; see the official site for current pricing.

Rows
rows.com

Rows Key Features

  • AI Analysis

    Use AI to write formulas, clean lists, summarize trends, and explore spreadsheet data.

  • Natural-language Questions

    Ask questions about business data conversationally and receive concise analysis and insights.

  • Business APIs

    Sync external business data into spreadsheets through connected services without writing integration code.

  • Data Applications

    Turn spreadsheet work into interactive reports, dashboards, and lightweight applications for sharing.

Rows Best For

Data analysts

Combine SQL-like spreadsheet work and AI assistance to clean data, explore trends, and create visual reports.

Business and operations teams

Connect marketing, CRM, and analytics sources to build lightweight dashboards and automated workflows without code.

Application developers

Turn spreadsheet logic and scripts into shareable interactive data applications without building a frontend from scratch.

Pros

  • Combines spreadsheet workflows with built-in AI analysis
  • Connects directly to common business data sources
  • Useful for lightweight dashboards and automations
  • Lets teams share interactive data applications without frontend development

Considerations

  • Advanced API connections and unlimited AI usage require a paid plan
  • Complex data engineering may exceed a spreadsheet workflow
  • Pricing and usage limits can vary by plan

Rows Quick Start and Practical Tips

Quick start

  1. 1

    Connect the data source through its native integration rather than pasting CSVs, so refreshes keep working.

  2. 2

    Let the AI write the formula, then open the cell to read it; spreadsheet errors cascade silently across the sheet.

  3. 3

    Publish the sheet as a shared dashboard once the layout is final, instead of sharing the editable version.

Pro tip

Core tip: refresh behaviour is where spreadsheet models break. Grouped queries, date ranges, and API rate limits can return partial data without an obvious error. Check the last refresh timestamp and row count after changing a source, and pin the date range instead of relying on relative filters.

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