Evidence is an open-source, code-based Business Intelligence (BI) tool that allows users to create interactive data dashboards and reports using SQL, Markdown, and JavaScript (d3.js). It’s designed for data teams who prefer a Git-friendly, collaborative workflow to build data products.
Use Cases
Building Custom Dashboards
For data analysts and engineers who want full control over their dashboard design and interactivity without being limited by GUI-based BI tools.
Data Storytelling and Reporting
To combine narratives, code, and visualizations into comprehensive data reports that can be easily shared and understood by stakeholders.
Collaborative Data Projects
Enabling multiple team members to work on data projects simultaneously using version control systems like Git.
Self-service Analytics for Data Teams
Providing a framework for data teams to quickly spin up ad-hoc analysis and make it accessible and interactive for internal consumption.
Integrating with Existing Data Warehouses
Connecting directly to various SQL databases and data warehouses to leverage existing data infrastructure for reporting.
Features & Benefits
Code-based BI
Utilizes SQL, Markdown, and JavaScript (d3.js) for powerful, flexible, and version-controlled data product development.
Open-Source Platform
Offers transparency, community support, and no vendor lock-in, making it a cost-effective solution for data teams.
Direct Database Integration
Connects directly to your SQL databases, allowing for real-time data access and reducing the need for complex ETL pipelines for reporting.
Interactive Visualizations
Leverages D3.js and other JavaScript libraries to create highly customizable and interactive charts and graphs.
Markdown-driven Pages
Simplifies content creation, allowing users to combine text, SQL queries, and charts seamlessly within a single Markdown file.
Git-Friendly Workflow
Its code-based nature integrates perfectly with Git, enabling robust version control, collaboration, and code reviews.
High Customization & Flexibility
Offers unparalleled control over design, interactivity, and data presentation, far beyond what traditional drag-and-drop tools provide.
Open-Source & Cost-Effective
Eliminates licensing costs associated with proprietary BI tools, making it accessible for teams with budget constraints.
Direct SQL Access
Empowers users to write and execute SQL directly, ensuring precision and leveraging existing database optimizations.
Cons
Steeper Learning Curve
Requires familiarity with SQL, Markdown, and potentially JavaScript, which might be a barrier for non-technical users.
Less User-Friendly for Beginners
Lacks a graphical user interface (GUI) for report building, which can be less intuitive for those accustomed to traditional BI tools.
Self-Hosting Required
As an open-source tool, users are responsible for hosting and managing their own Evidence deployments.
Community-Dependent Support
Primary support comes from the open-source community, which might not be as immediate or comprehensive as dedicated enterprise support.
