Heap vs Mode Analytics: Complete Comparison (2026)
Choosing between Heap and Mode Analytics is a common decision for analytics & bi buyers in 2026. Both Heap and Mode Analytics are established players, founded in 2013 and 2013 respectively. Heap serves 8K+ orgs users while Mode Analytics has 4K+ orgs users globally. Heap differentiates with auto-capture events and funnel analysis, while Mode Analytics leads with sql editor and python notebooks. In this head-to-head comparison, Heap earns a higher hiltonsoftware.co score of 88/100 — but the right choice depends on your specific needs, budget, and team size.
Quick Comparison
Feature-by-Feature Comparison
Pros & Cons at a Glance
After comparing Heap and Mode Analytics across features, pricing, and user satisfaction, Heap takes the lead with a score of 88/100 versus Mode Analytics's 88/100. Heap's key advantages include "no manual event tagging required" and "retroactive data analysis". That said, Mode Analytics has its own strengths — particularly "combines sql and python in one tool" — making it a viable alternative for specific use cases.
Both Heap and Mode Analytics offer free plans, lowering the barrier to entry. Heap's paid plans start at Custom pricing while Mode Analytics begins at Custom pricing. Evaluate which paid features — Heatmaps, Session replay (Heap) vs Interactive dashboards, Reports (Mode Analytics) — justify upgrading for your team.
Bottom line: Choose Heap if you need teams wanting full retroactive product analytics without manual event setup. Go with Mode Analytics if your priority is data teams wanting sql and python analytics with collaborative reporting. Both are strong analytics & bi tools — we recommend trying the free plan of each before committing.
Teams wanting full retroactive product analytics without manual event setup.
Data teams wanting SQL and Python analytics with collaborative reporting.