Evidence vs Metabase: 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.

Metabase is a business intelligence tool that makes company data accessible to everyone, not just analysts and engineers. Its founding idea is that the people who have questions about the business — marketers, founders, operations leads, support managers — shouldn't have to file a request and wait days for someone who knows SQL to answer them. Metabase connects to your databases and data warehouses and gives anyone a friendly, point-and-click way to explore that data, ask questions, and build dashboards, dramatically widening who in an organisation can actually use its data to make decisions.

The experience is built for non-technical users without limiting the technical ones. A visual query builder lets you filter, group, and summarise data by clicking rather than writing code, turning a vague question like "how did sign-ups trend by plan last quarter?" into a chart in minutes. Power users who do know SQL can drop into a full editor for complex analysis, and the results are just as easy to save, share, and pin to a dashboard. Dashboards update automatically, can be scheduled to email or message your team, and support filters so one dashboard serves many views. Because Metabase is open source, teams can self-host it for full control and privacy, or use the hosted version for convenience.

Metabase is a favourite of startups and growing companies that want a data-driven culture without the cost and complexity of heavyweight enterprise BI platforms. It blends product, revenue, marketing, and operational data into shared dashboards that keep everyone looking at the same numbers, which is often the first real step from gut-feel decisions to evidence-based ones. By lowering the barrier to exploring data to almost nothing, Metabase helps organisations answer their own questions quickly — and the teams that can answer their questions fastest tend to be the ones that learn and adapt fastest, too.