Evidence Core is an open-source, code-based business intelligence tool that enables teams to build and ship analytics by treating BI as code.
Why it matters
Venture Capitalist A, Venture Capitalist B
API Docs
API Available
overview
Evidence Core is a business intelligence tool developed by Evidence that enables data teams and developers to build and ship analytics together by treating BI as code. It provides capabilities for analytics agents, reporting, and embedded analytics, allowing for the creation of interactive data visualizations with SQL and Markdown.
features
Evidence Core provides a comprehensive set of features for a code-first approach to business intelligence, emphasizing developer workflows and data product creation. Its architecture supports version control and integration into CI/CD pipelines.
use cases
Evidence Core is designed for data professionals and teams who prefer a code-centric workflow for building and managing their business intelligence infrastructure. It caters to organizations seeking reproducibility, version control, and scalability in their analytics.
how to use
To begin using Evidence Core, users can either self-host the open-source framework or utilize the managed Evidence Cloud service. The primary workflow involves writing SQL queries for data retrieval and Markdown for report composition.
pricing
Evidence Core operates on a freemium model, offering a free open-source core for self-hosting and paid tiers for its managed cloud service, Evidence Cloud. AI-powered features consume AI Credits, with monthly allotments provided per workspace.
Similar Tools
Evidence Core is positioned as a code-first alternative to traditional drag-and-drop BI tools, competing within the 'BI-as-code' category. Its emphasis on SQL and Markdown for authoring distinguishes it from several alternatives.
It provides a BI layer directly on top of your dbt project, allowing you to define metrics and dimensions in code.
Lightdash is deeply integrated with dbt, making it an excellent choice for a 'BI as code' workflow, similar to Evidence Core's philosophy. The trade-off is that it requires an existing dbt project and might have a steeper learning curve if you're not already familiar with dbt for data transformation.
It's an open-source analytical API platform that helps developers build data applications and embedded analytics with a semantic layer defined in code.
Cube excels at providing a robust, code-first semantic layer and API for embedded analytics, aligning well with Evidence Core's developer-centric approach. You might need to build more of the front-end visualization yourself compared to Evidence Core's direct reporting capabilities, as Cube focuses on the data API.
A powerful, open-source data exploration and visualization platform that supports a wide range of data sources and offers extensive customization.
Superset offers comprehensive reporting and dashboarding capabilities, and while its data definitions are SQL-centric (code-based), its dashboard creation is more GUI-driven than Evidence Core's pure 'BI as code' approach for the entire workflow. It provides strong embedded analytics but might require more manual setup for a fully code-driven dashboard deployment.
A fully managed cloud service for Apache Superset, offering ease of deployment and maintenance for data visualization and exploration.
Preset provides a hosted, managed version of Apache Superset, simplifying deployment and operations compared to self-hosting. While it leverages Superset's SQL-based data definitions, it's less about treating the entire BI workflow 'as code' compared to Evidence Core, focusing more on managed service benefits and ease of use for reporting and embedded analytics.
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