Redash is an open-source data visualization platform that lets teams query databases in SQL, turn the results into charts and dashboards, and share them across a company. It serves analysts, data scientists, and engineers who are comfortable writing SQL and need one shared place for numbers instead of scattered spreadsheets and one-off extracts.[1][2]
Quick verdict
Data teams that write SQL and run their own infrastructure benefit most from Redash. Its query editor with schema browsing and reusable snippets turns database rows into dashboards, alerts, and shared links that colleagues open without touching a database client. The material constraint is ownership: there is no managed cloud and no no-code query builder, so non-technical teammates and teams that refuse server operations should choose something else. If your analysts write SQL and you can host a Docker container, choose Redash; if nobody writes SQL, Metabase and its visual query builder fit better.[1][2][3]
Key features
SQL editor with schema browsing Write queries in their natural syntax against each source, browse table schemas, insert columns with a click, and save snippets for filters and joins the team reuses.[1][2]
Cached and scheduled query results Results are cached for fast reloads, refresh on a schedule from the source, and can be used as inputs to further queries across different databases.[1]
Wide visualization gallery Render results as line, bar, area, pie, and scatter charts plus boxplots, cohorts, pivot tables, counters, funnels, maps, Sankey diagrams, sunbursts, and word clouds.[1]
Drag-and-drop dashboards Arrange and resize visualizations on shared dashboards that pull from multiple sources, then refresh them automatically from the underlying data.[1][2]
Broad data-source coverage Query SQL, NoSQL, big-data, and API-backed sources from the same editor, with repository topics naming engines from PostgreSQL and MySQL to Athena, BigQuery, Redshift, Snowflake, and Spark SQL.[1][2]
Query alerts Define alert conditions on query results and get notified when the data crosses them, instead of re-checking dashboards by hand.[1]
URL and embed sharing Share a dashboard with one click on a secret link for peers or clients, or embed widgets where the numbers are needed in context.[1]
API and user management Extend behavior through the REST API and manage access with user accounts, groups, and documented SSO and access-control features for larger organizations.[1]
Who will love it
SQL-fluent analytics teams Analysts who already think in SQL get a fast loop from question to shared chart without waiting on a data-engineering ticket queue.[1][2]
Operators who self-host everything A team already running Docker or cloud VMs can deploy Redash on its own network next to the databases it reads, with no per-seat meter running.[1]
Cost-sensitive teams leaving proprietary BI Shops paying per-seat fees for proprietary BI get dashboards, alerts, and embeds from a free BSD-2-Clause codebase they can modify.[1][2]
Who should avoid it
Non-technical business users There is no drag-and-drop query builder for people who cannot write SQL; those teams will stall at the first blank editor.[1]
Teams that refuse server operations With no managed cloud on offer, somebody must deploy, upgrade, back up, and size the instance, with 4 GB of RAM as the documented minimum.[1]
Buyers who need a support contract No support SLA or enterprise support channel was documented on the official site, so regulated buyers who require one must look elsewhere.[1]
Alternatives and compatibility
Conditional alternatives Teams whose members write SQL and can operate a container fit Redash; teams with no SQL authors fit Metabase and its visual builder, and teams needing a semantic layer with operator-run scale-out fit Apache Superset.[1][2]
Existing catalogue neighbours The catalogue relates Redash to Metabase and Apache Superset as competitors: all three cover querying SQL sources and sharing dashboards, differing in authoring surface and operational scope.[1][2]
Migration scope Moving to or from Redash means re-creating hand-written queries and dashboards in the target tool; the SQL itself transfers, while snippets, alerts, and dashboard layouts do not.[1][2]
Questions worth asking
What is the best Redash alternative for non-technical users?
Metabase fits better when nobody writes SQL, because its visual query builder produces charts without hand-written queries while keeping the same self-hosted dashboard workflow.[1]
Is Redash really no-code?
No. Dashboards assemble visually, but every underlying question is SQL or the source's native syntax, so working without developers means working without Redash.[1]
How much does Redash cost per month?
Can you self-host Redash?
Yes. The setup guide documents Docker deployment plus AWS EC2 AMIs and a Google Compute Engine image, requiring at least 4 GB of RAM.[1]
Sources and editorial review
Source research. Reviewed on October 12, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Redash homepage
official · Observed October 12, 2026
Official homepage positions Redash as a tool to make sense of data: SQL editor with schema browsing and snippets, dashboard visualization and sharing, API, alerts, user management, many data sources, and an open-source project.
- Redash product page
official · Observed October 12, 2026
Product page documents the query editor with snippets and cached results, ten visualization types, drag-and-drop dashboards with scheduled refresh and URL/embed sharing, alerts, API access, and user management with SSO.
- getredash/redash repository
official · Observed October 12, 2026
Repository page shows owner getredash and name redash with the data-driven tagline, BSD-2-Clause license, python and javascript topics, and data-source topics from athena to snowflake.
- Setting up a Redash instance
official · Observed October 12, 2026
Self-hosted setup guide documents creating an instance via Docker, AWS EC2 AMIs, or a Google Compute Engine image with a 4 GB RAM minimum.
Compared with these products
No explicit proprietary baseline is recorded.