Databox vs Evidence

Databox is a business analytics and KPI reporting platform headquartered in Boston with roots in Slovenia. It connects to marketing, sales, finance and product tools, pulls their metrics into one place and turns them into dashboards, scorecards, goals and alerts that non-analysts can build and read. It is especially popular with marketing agencies that report on dozens of client accounts.

More than 100 native integrations, including Google Analytics, HubSpot, Google Ads, Facebook Ads, Shopify, Stripe and QuickBooks, sit alongside connectors for spreadsheets, SQL databases and an API for custom data. Users drag metrics onto dashboards, set goals with progress tracking, schedule scorecards to Slack or email, and use forecasting to project where a metric will land. Benchmarks compare your performance with anonymized peer groups, a feature few competitors offer. A free plan covers a few data sources; paid tiers scale with the number of sources, users and advanced features.

Databox fits SMBs and agencies that want quick, attractive KPI dashboards without a data team. It is not a replacement for a BI tool: data modeling, joins across sources and complex calculations are limited, and some integrations expose only a subset of metrics. AgencyAnalytics and Whatagraph are close alternatives for agency client reporting; Looker Studio is free but more manual; Power BI and Tableau suit companies that need full data modeling.

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.