Best Self Hosted Alternatives to Redash

Apache Superset is an open-source, web-based business intelligence platform for exploring data and building interactive dashboards. It connects to a wide range of SQL-speaking databases and query engines and supports both no-code charting and advanced SQL workflows.

Key Features

• No-code chart builder for quickly creating visualizations
• SQL Lab (web-based SQL editor) for complex queries and analysis
• Interactive dashboards with filters, cross-filtering, and drill-down capabilities
• Semantic layer for defining reusable metrics and dimensions
• Virtual datasets for ad-hoc exploration without creating physical tables
• Extensible visualization plug-in architecture with many built-in chart types
• Configurable caching to reduce database load and improve dashboard performance
• Role-based access control and multiple authentication options
• REST API for programmatic customization and automation

Use Cases

• Self-serve analytics dashboards for business and product teams
• Exploratory SQL analysis and dataset prototyping for analysts
• Organization-wide reporting layer on top of existing data warehouses

Superset is a strong fit for teams that want a scalable BI UI on top of existing SQL data infrastructure. Its combination of no-code dashboards and a powerful SQL workspace makes it useful for both casual and advanced data users.

Metabase is an open-source business intelligence and embedded analytics platform that sits on top of your databases and lets people explore data, create visualizations, and share insights. It supports both no-code querying for non-technical users and SQL for advanced analysis.

Key Features

• Visual query builder for exploring data without writing SQL
• Native SQL editor for complex queries and reusable questions
• Interactive dashboards with filters, drill-downs, and sharing options
• Alerts and scheduled subscriptions (email/Slack) for dashboards and questions
• Data modeling features such as semantic models, metrics, and segments
• Embedded analytics via iframe embedding and an SDK for React
• Permissions, groups, and authentication integrations for controlled access

Use Cases

• Company-wide self-serve analytics on top of a production database or warehouse
• KPI dashboards and recurring reporting for teams like finance, product, and ops
• Customer-facing analytics embedded into SaaS products

Limitations and Considerations

• Some advanced capabilities (for example certain governance and enterprise features) are available only in commercial editions

Metabase is well-suited for teams that want fast, approachable analytics without building a custom reporting stack. It can scale from simple internal dashboards to embedded, multi-user analytics with access controls.

Redash is an analytics and business intelligence application for exploring data with SQL/NoSQL queries, turning results into visualizations, and sharing dashboards across a team. It is designed for browser-based collaboration so both technical and non-technical users can access and act on trusted, refreshable reports.

Key Features

• Browser-based query editor with schema browsing and autocomplete
• Visualizations and drag-and-drop dashboards built from query results
• Sharing and collaboration on queries and dashboards, including public links
• Scheduled query execution and automatic dashboard refresh
• Alerting on query results when conditions are met
• REST API for automating and integrating reporting workflows
• Broad, extensible support for many SQL and NoSQL data sources

Use Cases

• Self-hosted internal BI for SQL-driven reporting and team dashboards
• Centralized querying across multiple databases and analytics platforms
• Automated operational metrics with scheduled refreshes and alerts

Limitations and Considerations

• Primarily oriented around SQL/NoSQL querying and dashboards rather than full semantic modeling typical of some enterprise BI suites

Redash is a strong fit for teams that want a lightweight, web-based way to query many data sources, publish dashboards, and standardize reporting. Its alerting, scheduling, and API features make it useful for both interactive analysis and automated data-driven workflows.

Evidence is an open-source, code-based alternative to drag-and-drop BI tools for building interactive data products. It generates a web app from Markdown pages that run embedded SQL queries and render charts and UI components.

Key Features

• Build reports and dashboards from Markdown with embedded SQL queries
• Component-based, interactive visualizations rendered from query results
• Templated pages plus loops and conditional logic for reusable reporting
• Developer-friendly workflow designed for version control and code review
• Supports connecting to common analytical databases and warehouses

Use Cases

• Internal BI reporting portals with a narrative format (metrics plus commentary)
• Customer-facing analytics and embedded reporting in product documentation sites
• Rapid exploratory analysis shared as reproducible, versioned reports

Evidence is well-suited for teams that prefer writing SQL and keeping analytics artifacts in Git. It provides a straightforward path from queries to polished, shareable data experiences without relying on a drag-and-drop editor.

Edalitics (EDA) is an open-source, metadata-driven analytics and dashboard platform designed to make data exploration and visualization accessible to non-technical users while providing advanced features for analysts. It pairs a TypeScript/Node.js backend with an Angular frontend and stores metadata and configuration in MongoDB.

Key Features

• No-code dashboard and report creation with a responsive, modern UI
• Advanced SQL query mode for power users to build custom queries
• Tree-mode data model explorer to navigate logical data models
• KPI definitions and automated e-mail alerts for monitoring
• Public dashboards shareable via URL for read-only access
• Row Level Security (RLS) to restrict data access per user or role
• Metadata and configuration stored in MongoDB
• Official Docker image and deploy templates (Helm/docker) for quick deployment

Use Cases

• Business intelligence and executive dashboards for product, sales, or operations teams
• Self-service reporting for non-technical stakeholders with an option for SQL-based custom reports
• KPI monitoring and automated alerting for operational or business metrics

Limitations and Considerations

• Licensed under AGPL-3.0, which may impose obligations for commercial redistribution or embedding in proprietary systems
• Metadata storage relies on MongoDB; organizations that prefer relational metadata stores may need adaptation
• Connector and integration coverage may be narrower than mature commercial BI platforms; advanced integrations can require additional configuration or development

Edalitics provides a lightweight, metadata-first approach to building dashboards and reports with a balance of no-code tooling and SQL power features. It is suited for teams that want fast self-service analytics with built-in KPI alerting and access controls.