Pricing Overview
Redash is completely free and open source under the BSD-2-Clause license. There are no paid tiers, no per-seat fees, and no usage caps baked into the software itself. You download it, self-host it, and run it for as many users and queries as your infrastructure can handle.
Databricks acquired Redash in June 2020 and the former hosted cloud offering was shut down, which means self-hosting is now the only deployment path. The project remains actively maintained on GitHub with over 28,500 stars and a latest release (v26.3.0) shipped in March 2026. We consider Redash one of the strongest free options in the business intelligence category, especially for teams that already operate their own infrastructure and want a lightweight, SQL-first analytics layer without recurring license costs.
Plan Comparison
| Aspect | Redash (Self-Hosted) |
|---|---|
| License | BSD-2-Clause (open source) |
| License cost | $0 |
| Per-user fee | None |
| User limit | Unlimited |
| Data source connectors | 35+ (PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, MongoDB, Athena, and more) |
| Query editor | Full SQL editor with auto-complete, snippets, and schema browser |
| Dashboards | Drag-and-drop, shareable via secret URL or public embed |
| Visualizations | Line, bar, area, pie, scatter, boxplot, cohort, sunburst, word cloud, sankey, map, counter, pivot table, funnel |
| Scheduled refreshes | Yes |
| Alerts | Built-in, triggered by query result conditions |
| API access | Full REST API |
| User management & SSO | Included |
| Support | Community only (GitHub issues, forum) |
Because there is only one edition, every feature ships to every user. There is no gated enterprise tier restricting SSO, API access, or alert functionality behind a paywall. The trade-off is that you get zero vendor-managed hosting and zero commercial support -- everything runs on your team's infrastructure and expertise.
We appreciate that Redash keeps its feature set unified. Teams evaluating it do not need to compare plan matrices or worry about upgrading later to unlock critical capabilities like scheduled refreshes or user management.
Hidden Costs and Considerations
Redash is free to license, but self-hosting is not free to operate. You will need to budget for server infrastructure (compute, storage, and a PostgreSQL database), a Redis instance for the task queue, and the engineering time to maintain upgrades and security patches. Docker Compose is the standard deployment method, and most teams run it on a single VM costing roughly $20-$50/month on major cloud providers, though high-traffic deployments will need more. There is no commercial support channel, so troubleshooting falls entirely on your team or the open-source community.
How Redash Pricing Compares
| Tool | Pricing Model | Starting Price | Free Tier | Per-User Cost |
|---|---|---|---|---|
| Redash | Open Source | $0 | Unlimited (self-hosted) | None |
| Amazon QuickSight | Usage-Based | $0 | 5 users | $12/user/mo (Standard) |
| KNIME | Open Source / Paid | $0 | Personal use free | $19/mo, $49/mo, $99/mo |
| Amplitude | Freemium | $49/mo | Yes (limited) | Included in plan price |
Redash stands apart from this group because it charges nothing at any scale -- no per-user fees, no usage tiers, and no enterprise paywall. Amazon QuickSight starts free for up to 5 users but reaches $12/user/month on the Standard plan, which adds up fast for mid-size teams. KNIME offers a free personal-use license for its analytics platform, but collaborative and production features sit behind $19/mo to $99/mo paid plans. Amplitude provides a free tier with event volume limits, then jumps to $49/mo on the Plus plan.
The catch with Redash is that you absorb all hosting and maintenance costs yourself. For teams with existing DevOps capacity, this makes Redash dramatically cheaper than any hosted competitor. For teams without infrastructure expertise, the hidden operational burden may push the total cost of ownership above a managed SaaS alternative. We recommend Redash for data-driven engineering teams that value full control and have the capacity to run a Docker-based stack in production.