Heap vs Redash: Complete Comparison (2026)
Choosing between Heap and Redash is a common decision for analytics & bi buyers in 2026. Both Heap and Redash are established players, founded in 2013 and 2013 respectively. Heap serves 8K+ orgs users while Redash has 50K+ users globally. Heap differentiates with auto-capture events and funnel analysis, while Redash leads with sql editor and dashboards. 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 Redash across features, pricing, and user satisfaction, Heap takes the lead with a score of 88/100 versus Redash's 86/100. Heap's key advantages include "no manual event tagging required" and "retroactive data analysis". That said, Redash has its own strengths — particularly "free and open-source" — making it a viable alternative for specific use cases.
Both Heap and Redash offer free plans, lowering the barrier to entry. Heap's paid plans start at Custom pricing while Redash begins at Free (self-hosted). Evaluate which paid features — Heatmaps, Session replay (Heap) vs Scheduled queries, Alerts (Redash) — justify upgrading for your team.
Bottom line: Choose Heap if you need teams wanting full retroactive product analytics without manual event setup. Go with Redash if your priority is data teams wanting a free, sql-based dashboard tool they can self-host. 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 a free, SQL-based dashboard tool they can self-host.