Amplitude vs Evidence: Which Is Better in 2026?

Amplitude is a product analytics platform that helps teams understand how people actually use their digital products and what drives them to stay, engage, and grow. Knowing how many visitors a site gets is easy; understanding the behaviour that leads to retention and revenue is the hard and valuable part. Amplitude focuses squarely on that behavioural layer, tracking what users do inside a product — the actions they take, the paths they follow, the features they adopt — so teams can move beyond vanity metrics to genuine insight about what makes their product succeed or fail.

The platform lets teams analyse user behaviour in depth without needing to write code for every question. You can build funnels to see where users drop off in a key flow, measure retention to understand whether people keep coming back, segment users to compare how different groups behave, and trace the paths people take through your product to find friction and opportunity. By connecting these behaviours to outcomes, Amplitude helps answer the questions that actually matter for growth: which features drive long-term engagement, what separates power users from those who churn, and what changes will move the metrics that count. It's built to make this kind of analysis accessible to product managers and growth teams, not just data scientists.

Amplitude is used by product, growth, and data teams at companies of all sizes who want to make decisions based on real user behaviour rather than guesswork. The value is clarity: instead of arguing about what users want, teams can look at what users do and build accordingly, testing hypotheses and measuring impact. This evidence-based approach to product development tends to compound — teams that genuinely understand their users iterate faster and make better bets. For any business whose success depends on building a product people love and keep using, Amplitude provides the behavioural insight to understand the why behind the numbers and to focus effort where it will actually drive engagement, retention, and growth.

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.