How to set up Redash on AWS?

Redash provides ready-made AWS images and detailed setup guides in their documentation. You can launch an instance using the AMI and configure data sources, but it requires managing infrastructure like EC2 and databases.

Redash vs Metabase: which is better for my team?

Redash is better for SQL-savvy users and supports more data sources out of the box, while Metabase offers a more intuitive GUI for non-technical users. Choose based on your team's SQL proficiency and data source needs.

How to create alerts in Redash?

In Redash, you can set up alerts by defining conditions on query results, such as thresholds, and configure notifications via email or webhooks. The alerts feature is built-in and can be scheduled for regular checks.

Can Redash handle real-time data?

Redash primarily uses scheduled refreshes, so it's not designed for real-time streaming. For near-real-time updates, you can set short refresh intervals, but it's not event-driven like specialized streaming tools.

How to add a custom data source to Redash?

Redash has an extensible data source API; you can develop custom connectors by following the documentation and contributing code, but it requires Python programming knowledge and understanding of the codebase.

Is Redash suitable for large enterprises?

Yes, Redash is used by thousands of organizations and can scale with proper infrastructure. However, self-hosting means you must handle scalability, security, and maintenance internally, unlike managed enterprise solutions.

redash — Open Source Data Visualization Platform

What is redash?

Redash is an open-source business intelligence and data visualization tool that allows users to connect to various data sources, write queries, create visualizations, and build interactive dashboards. It solves the problem of making data accessible and actionable for entire organizations, enabling data-driven decisions without requiring deep technical expertise.

Target Audience

Data analysts, SQL users, and teams in organizations that need to explore, visualize, and share data insights across departments, from technical to non-technical stakeholders.

Value Proposition

Developers choose Redash for its ease of use, broad data source support, and self-hosted flexibility, offering a powerful, collaborative alternative to commercial BI tools with full control over data and infrastructure.

Overview

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Use Cases

Best For

Teams needing a self-hosted business intelligence platform
SQL users who want to create and share data visualizations quickly
Organizations requiring dashboards with scheduled data refreshes
Companies that need alerts based on data changes
Projects integrating multiple data sources into a single interface
Collaborative environments where queries and reports need peer review

Not Ideal For

Projects requiring real-time data streaming without scheduled refresh delays
Teams wanting a fully managed, cloud-hosted BI service with zero DevOps
Use cases needing highly custom, code-driven visualizations beyond standard chart types
Organizations focused primarily on data transformation or ETL workflows rather than visualization

Pros & Cons

Pros

Broad Data Source Support

Supports over 35 SQL and NoSQL sources natively, including PostgreSQL, MongoDB, and Google BigQuery, with an extensible API for adding more, as listed in the README.

SQL-Centric Ease of Use

Features a query editor with schema browsing and auto-complete, enabling SQL users to quickly compose and execute queries without mastering complex tools, per the README's emphasis on democratizing data access.

Collaborative Sharing Features

Allows easy sharing of queries and visualizations via shareable URLs, facilitating peer review and teamwork across the organization, as highlighted in the key features.

Comprehensive REST API

Provides a REST API that mirrors all UI functionality, enabling automation and integration into existing workflows, which is explicitly stated in the features list.

Cons

Complex Self-Hosting Setup

Requires setting up and maintaining your own instance with dependencies, as indicated by the README linking to setup guides and images, rather than offering a plug-and-play solution.

Limited Advanced Visualization Options

While it offers standard chart types via drag-and-drop, it lacks the deep customization and interactive capabilities of specialized libraries like D3.js or commercial tools like Tableau.

Performance Depends on Data Sources

Query execution relies on the performance of connected databases, which can lead to bottlenecks with large datasets or slow sources, a trade-off not addressed in the README.

Open Source Alternative To

redash is an open-source alternative to the following products:

Metabase

Metabase is an open-source business intelligence and analytics tool that lets non-technical users create dashboards and run queries on databases through a simple interface.

Tableau

Tableau is a business intelligence and data visualization software that helps people see and understand their data through interactive dashboards, reports, and charts.

Looker

Looker is a business intelligence and data analytics platform that enables organizations to explore, analyze, and share real-time business insights through a web-based interface.

redash

What is redash?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Open Source Alternative To

Frequently Asked Questions

Related Projects

Found a gem we're missing?

redash

What is redash?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Open Source Alternative To

Frequently Asked Questions

Related Projects

Found a gem we're missing?