# Business Intelligence as Code

> Source: <https://evidence.dev/>
> Published: 2026-06-19 09:56:40+00:00

Publication-quality visualizations designed for all device sizes

Sub-second interaction time, even on millions of records

Build dashboards & reports in markdown, backed by version control and testing

Combine interactive data viz components to build responsive data products. Publish internally, share with customers, or embed in your application.

Build polished reports with SQL, markdown, and a suite of AI development tools in a powerful browser-based IDE.

Write clean, readable SQL and markdown that's easy to understand and maintain

Catch errors as you type with automatic validation for SQL, markdown, and component syntax

Track changes and test your reports with the same tools software engineers use

Automatic suggestions for components, viz options, SQL queries, and more

Speed up your development with an AI agent that can look up documentation, check your schema, debug errors, and write Evidence markdown.

High-performance data infrastructure with enterprise security and automatic scaling.

Query billions of rows in milliseconds with columnar storage and vectorized execution

Multi-level caching with automatic query optimization and memory management

Enterprise-grade ClickHouse cluster with automatic scaling and optimization

Built-in RLS policies ensure users only see data they're authorized to access

Connect to all major databases including Snowflake, BigQuery, ClickHouse, and more

Automatically sync your data on custom schedules from minutes to daily intervals

Built for enterprise security with SOC 2 compliance and advanced access controls. Seamlessly integrates with your existing identity infrastructure.

Certified security controls

Granular data access control

Support for many SSO providers

Automated user provisioning

Security event monitoring

Customer-managed encryption

Granular content control

Global data compliance

Evidence is built on the solid foundations of its open source framework for building data products. Join our growing community of data analysts, developers, and data enthusiasts.
