Heap vs Rows
Side-by-side comparison to help you choose the best tool.
Heap
freemiumHeap is an automatic product analytics platform that captures every user interaction - clicks, taps, swipes, form submissions - without requiring manual event tracking. Its AI Heap Illuminate feature proactively discovers friction points and conversion opportunities hidden in your data, so teams can fix problems they didn't know to look for.
Rows
freemiumAI spreadsheet that connects to live data sources, runs Python code, and uses AI to analyse and summarise spreadsheet data in plain English. Rows reimagines the traditional spreadsheet by combining familiar grid functionality with live API integrations, Python execution, and a built-in AI analyst that answers questions about your data. Teams can build automated reports that pull live data and have AI generate written summaries and data.
| Feature | Heap | Rows |
|---|---|---|
| Pricing | freemium | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.4 | 4.3 |
| Best For | Product teams who want complete behavioural data capture without engineering overhead | Business analysts wanting AI-improved spreadsheets with live data |
| Views | 74 | 76 |
Pros
- No manual event tagging needed
- Retroactive analysis of historical data
- AI surfaces insights automatically
Cons
- Can generate very large data volumes
- Pricing not transparent for larger plans
Pros
- Familiar spreadsheet interface with powerful extensions
- AI analyst is genuinely useful for summaries
- Live data connections eliminate manual updates
Cons
- Less mature than Google Sheets for complex formulas
- Integrations limited compared to dedicated ETL tools
- Automatic event capture
- AI-powered Heap Illuminate
- Retroactive data analysis
- Session replay integration
- Journey maps
- AI analyst for natural language data Q&A
- Live API and database integrations
- Python code execution in cells
- Automated report scheduling
- Beautiful shareable report publishing