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Broad Data Source Support: Redash connects to more than 35 SQL and NoSQL databases, cloud warehouses, APIs, and file uploads such as CSV and Excel. The wide coverage gives users access to data from many platforms without the need for heavy custom integrations.
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Query Editor: The SQL editor includes syntax highlighting, auto-complete, and schema browsing. Both technical and non-technical users benefit from a smoother process when working with complex queries.
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Data Visualizations: A variety of options exist, including line charts, bar charts, pie charts, scatter plots, boxplots, funnels, maps, pivot tables, Sankey diagrams, sunburst graphs, and word clouds. Custom axes, labels, and colors help match visuals to specific analytical needs.
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Interactive Dashboards: Multiple visualizations appear together on one dashboard through a simple drag-and-drop layout. Real-time monitoring, filtering, and drill-down options allow deeper insights.
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Scheduled Queries and Refreshes: Queries and dashboards update automatically at chosen intervals, which keeps data current and reduces manual work.
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Alerts and Notifications: Users set conditions for data changes and receive alerts by email or Slack once thresholds are met. Critical shifts in data get immediate attention.
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Collaboration and Sharing: Queries, dashboards, and visualizations are easy to share through links, embedded widgets, or scheduled reports. Teamwork improves with features such as commenting, version control, and peer review.
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User Management and Access Control: Role-based permissions, encrypted connections, and detailed access levels protect sensitive data. Administrators decide who can view or edit resources.
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REST API Access: A REST API provides programmatic access to queries, results, and metadata. External tools connect easily, and workflows gain efficiency through automation.
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Open-Source Flexibility: Redash is open source and self-hosted, so organizations run it on their own infrastructure and adapt it to their security or compliance requirements. There is no vendor-run cloud edition to buy.
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Data Export: Query results and visualizations export in CSV, JSON, or PNG formats, making insights easy to share or reuse in other applications.
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Parameterization: Queries accept dynamic parameters so users adjust inputs to explore data from different angles.
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Data Caching: Query results remain stored to reduce repeated processing, which improves performance and speeds up access to frequently used data.
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Multi-Tenancy Support: Separate environments for different teams or organizations exist within a single instance. Large and complex structures gain secure and efficient management.
Redash
Enable querying, visualizing, and sharing data for business intelligence and analytics.
Updated July 29, 2026
Redash Overview
Redash is an open-source business intelligence and analytics platform that empowers users to query data from various sources, including databases and APIs, using SQL or visual query builders. It offers intuitive tools for creating interactive dashboards, visualizations, and reports, enabling data-driven decision-making.
With features like scheduled refreshes, alerts, and collaborative sharing, Redash supports teams in exploring, analyzing, and presenting insights efficiently, catering to both technical and non-technical users.
Key Features
Pricing
Redash is free, open source software that you self-host at no license cost. After Databricks acquired Redash in 2020, the former hosted plans (Starter, Professional, and Business) were discontinued, so redash.io no longer sells paid subscription tiers and its old pricing page now redirects to the home page.
| Option | Cost | Details |
|---|---|---|
| Self-hosted (open source) | Free | Run Redash on your own server or cloud with full querying, dashboards, and visualizations; no per-seat fee. |
| Former hosted SaaS | Discontinued | The old redash.io hosted service was retired after the 2020 Databricks acquisition; existing users were directed to Databricks SQL. |
Pricing source: https://redash.io/
Pros
Competitor |
Pros of Redash |
|---|---|
| Looker | Redash costs nothing to license, while Looker is sold through Google Cloud with every platform edition, Standard, Enterprise and Embed, quoted by the sales team rather than listed. Its open-source codebase can be modified for unusual workflows, and the SQL-native query engine reaches more than 35 data sources.
The web-based design needs nothing installed on the client side, which helps distributed teams. Users also describe setup as far quicker than Looker’s. |
| Zoho Analytics | Redash connects to a wide range of sources, niche databases included, where Zoho Analytics leans on prebuilt business-app connectors and needs more setup for anything outside them.
Self-hosting Redash is free, while Zoho Analytics Basic is US$24 a month billed annually for 2 users and 0.5 million rows, rising to US$48 for Standard and US$115 for Premium. Redash also keeps query sharing and commenting in the same interface people write queries in. |
| Tableau | Tableau Standard starts at $15 per user per month and Tableau Enterprise at $35, both billed annually and requiring at least one Creator licence per deployment; Redash charges nothing per seat. The open-source option suits technical users who want to change how the tool behaves.
The SQL editor is built for analysts rather than drag-and-drop users, and small to medium teams get running faster than a Tableau rollout allows. |
| Microsoft Power BI | Redash can be modified freely, while Power BI is a closed product licensed at $14 per user per month for Pro and $24 for Premium Per User. Connecting varied data environments does not require buying integration capacity.
Shared dashboards and version control support team workflows, and reviewers find ad-hoc analysis simpler here than in Power BI. |
| Metabase | Redash reaches more than 35 data sources against Metabase’s narrower integration set. Self-hosting stays free, while Metabase Starter is $100 a month, or $90 a month billed annually, and Pro is $575.
Sankey and sunburst charts widen the visualization options, and the REST API opens queries, results and metadata to automation. The query editor holds up on complex SQL. |
Cons
Competitor |
Cons of Redash |
|---|---|
| Looker | Redash has no semantic modelling layer and no AI-driven or predictive analytics, which is most of what Looker sells. There is also no vendor to escalate to: support means GitHub Discussions and the community, not a priority queue.
The visualization library is broad but plainer, which shows when a dashboard goes in front of executives. |
| Zoho Analytics | Dashboard styling and rebranding are thinner than Zoho Analytics offers. Zoho also has a free plan of its own, with 2 users, 10,000 rows and 5 workspaces, so “free” is not by itself a Redash advantage at the smallest scale.
Users report Redash slowing on very large datasets, and Zoho’s scheduled syncs refresh dynamic data more often. |
| Tableau | Redash has no forecasting or predictive modelling. Its interface is less polished, which affects how dashboards look when they leave the analytics team. Tableau also ships far more training material.
Setup is a real project for non-technical users compared with Tableau’s drag-and-drop approach. |
| Microsoft Power BI | Redash does not plug into Azure and Microsoft 365 the way Power BI does, which matters in a Microsoft-centric organisation. Its analytics stop at SQL and charts, with no AI or machine learning layer. Non-technical users find the interface less approachable, and Power BI’s $14 per user per month buys a supported product rather than a self-managed one. |
| Metabase | Setup and maintenance take more work than Metabase’s out-of-the-box install, which suits smaller teams better. Its visualization tools are less friendly to non-technical users. Role-based access control in the free Redash build is thinner than what Metabase offers, which limits enterprise-grade security. Reviewers also note faster query execution in Metabase on simpler datasets. |
Reviews
- Capterra Review (Rating: 4.6/5): One product manager shared that Redash makes it easy to run standard SQL queries against local or cloud data sources and quickly generate “high quality tables and visualizations,” praising the autocompleting queries and automated search and filtering. A data analytics manager noted that connecting data sources and prototyping metrics felt simple at first, though rapid experimentation led to “analytics technical debt” as the company grew, and non-technical users struggled without SQL knowledge due to limited visual report generation.
- medium.com Review: The author highlighted that Redash offers a “rich selection of data sources out the box” with no tweaking required, and that schedulers come up by default which keeps alert setup mostly UI-driven. The Slack integration worked, but the UI felt buggy at times, such as forcing a page refresh to change a selected query in the alerting window.
- G2 Review (Rating: 4.3/5): One mid-market user called Redash a “good SQL collaboration tool” with an intuitive dashboard for interactive visualizations and customizable queries, plus strong support for multiple data sources and database integrations. Another reviewer valued the authentication and role-based access control for data governance, yet pointed out that Redash struggles with advanced analytics, complex transformations, real-time streaming, and can slow down with large datasets.
