Evidence vs Tableau

Evidence is an open-source business intelligence framework built around the idea of BI as code. Analysts write reports as Markdown files with embedded SQL queries and ready-made components for charts, tables and big numbers, and Evidence builds them into a fast static website. The project is MIT licensed and backed by a venture-funded company that also runs a hosted service.

Evidence connects to common warehouses and databases including Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL and DuckDB, as well as CSV files. Query results are cached and processed in the browser with DuckDB, so pages stay quick once built. Templated pages generate one report per customer, region or product from a single file, loops and conditionals add logic, and everything lives in git, so changes go through pull requests and code review. The open-source framework is free to self-host; Evidence Cloud adds managed builds, hosting, scheduled refreshes and authentication.

Evidence fits data teams that already think in SQL and git and want polished, reproducible reports such as board packs, KPI sites or customer-facing data pages. It is not a self-serve tool for business users who want to drag fields onto a chart. Metabase and Looker Studio are better for ad hoc exploration, Lightdash builds BI directly on dbt models, and Observable Framework is the closest alternative for code-first data apps with more JavaScript flexibility.

Tableau is the visual analytics platform that set the standard for interactive dashboards. It was founded in 2003 as a spin-off of a Stanford University research project, grew up in Seattle and was acquired by Salesforce in 2019. Analysts connect to databases, spreadsheets and cloud sources, drag fields onto a canvas to build sophisticated visualisations, and combine them into dashboards that business users can filter and explore.

The product family includes Tableau Desktop for authoring, Tableau Prep for cleaning and shaping data, and Tableau Cloud or self-hosted Tableau Server for publishing, sharing and governance. Tableau Public is a free community version for public data. Tableau Pulse delivers AI-generated metric summaries to business users, and Tableau Agent adds natural language help for building visualisations and calculations. Licensing is role-based per user per year: Creator for authors, Explorer for self-service analysis on published data and Viewer for consumers, with Tableau+ adding premium AI and management features.

Tableau fits organisations with dedicated analyst teams that value visual exploration, design flexibility and a large community. It is expensive compared with Power BI, especially when many viewers need access, and getting value requires trained authors and well-prepared data. Power BI wins in Microsoft-centric companies on price and Office integration, Looker suits teams that want a governed semantic layer on Google Cloud, Qlik offers associative exploration, and Metabase or Looker Studio are lighter, cheaper options.