Evidence vs Hotjar: Which Is Better in 2026?

Evidence is an open-source, code-based business intelligence tool that lets data teams build polished reports, dashboards and data products using just SQL and Markdown. It takes a refreshingly different approach from traditional drag-and-drop BI: instead of clicking through a GUI to build charts, you write SQL queries and Markdown, and Evidence renders beautiful, interactive data reports — bringing the benefits of software engineering, like version control, code review and reproducibility, to analytics and reporting.

The workflow is elegant for technical analysts. You write SQL to pull and shape your data, then write Markdown with simple components to lay out narrative text, charts, tables and interactive elements. Evidence turns this into a clean, professional web report or data app that updates as your data does. Because everything is code, your reports live in a git repository — they can be reviewed, versioned, tested and collaborated on like any software project, which brings rigor and maintainability that point-and-click BI tools struggle to provide.

This code-first philosophy resonates strongly with the modern, engineering-minded data community. It's ideal for building things like recurring reports, internal data products, metrics narratives and customer-facing analytics, where you want polish, consistency and the ability to manage reports as code. As open source, Evidence can be self-hosted and customized freely, avoiding lock-in, with options for easier hosting too. It fits naturally alongside tools like dbt in the modern data stack. For data analysts and engineers who are comfortable with SQL and want to build elegant, maintainable, version-controlled reports and dashboards — and who find traditional BI tools clunky or hard to govern — Evidence offers a powerful, developer-friendly and genuinely modern approach to turning data into clear, shareable insight.

Hotjar is a product experience and behaviour analytics tool that shows you how people actually experience your website — not just what they do, but how they do it. Traditional analytics tell you numbers: how many visitors, which pages, what bounce rate. They rarely tell you why. Hotjar fills that gap with visual, qualitative tools that let you see your site through your users' eyes, revealing the confusion, hesitation, and friction that numbers alone can't explain. It turns abstract metrics into something you can watch and understand, which is often exactly what's needed to figure out why a page underperforms.

Its core features make user behaviour tangible. Heatmaps show where visitors click, move, and how far they scroll, instantly revealing what attracts attention and what gets ignored. Session recordings let you watch anonymised playbacks of real visits, so you can see exactly where someone got stuck, rage-clicked a non-button, or abandoned a form. On top of these observational tools, Hotjar offers feedback widgets and surveys that let you ask visitors directly about their experience, capturing the voice of the customer right on the page. Together, these turn a website from a black box into something you can genuinely observe and improve, grounding design and conversion decisions in real evidence rather than assumptions.

Hotjar is used by marketers, designers, product teams, and conversion specialists who want to understand and improve the user experience. It pairs naturally with quantitative analytics: where a tool like a traditional analytics platform tells you that a page has a problem, Hotjar helps you see why and fix it. The combination of heatmaps, recordings, and direct feedback makes it especially powerful for conversion rate optimisation, usability improvements, and diagnosing confusing flows. For any team that wants to stop guessing about why visitors behave the way they do and start watching and listening, Hotjar provides an accessible, insightful window into the real human experience of using their site.