Evidence vs Umami: 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.

Umami is an open-source, privacy-focused web analytics tool that you can self-host for free, offering a simple and clean alternative to Google Analytics. It provides a clear dashboard of the essential metrics — visitors, page views, referrers, devices and countries — without the complexity, and because it is open source and self-hostable, it is especially popular with technical people who want capable analytics without any subscription and with complete control over their data.

Its strengths are openness, privacy and value. Umami is cookieless and does not collect personal information, so in most cases you avoid the need for a cookie consent banner, and its lightweight script keeps your site fast. Being open source means it is transparent and free to self-host, so you own your analytics data outright rather than handing it to a third party. For developers and privacy-minded site owners who are comfortable running their own instance, that combination of zero cost and full ownership is hard to beat.

Umami is a great fit for developers, privacy-conscious site owners and anyone who wants simple, clean, cookieless analytics that they can self-host for free and fully control. It sits alongside tools like Plausible and Fathom in the privacy-first analytics category — Umami's distinguishing feature being its free, self-hosted, open-source nature. If you want to escape Google Analytics' complexity and cookie baggage while owning your data and paying nothing but your own hosting, Umami is an excellent, lightweight choice that delivers exactly what most sites actually need.