Run Redash from a pre-configured image, connect it to your databases, and turn SQL queries into dashboards your whole team can read. Queries and results stay inside your own cloud account, with no per-seat licence.
Redash is an open-source tool for querying data sources, visualising the results and sharing them as dashboards. Analysts write the SQL; everyone else opens the dashboard, filters it and reads it. It suits teams that want fast SQL-to-dashboard workflows without a heavyweight BI platform.
Write SQL against your data sources and save queries to reuse.
Turn query results into charts, tables and dashboards.
PostgreSQL, MySQL, BigQuery, Redshift, Databricks, MongoDB, Elasticsearch and more.
Run any query on a schedule so dashboards stay current.
Get notified by email, Slack or PagerDuty when results cross a threshold.
Invite teammates by email and share dashboards across the organisation.
Redash needs PostgreSQL, Redis, worker processes and a web server before it can run a query. The marketplace image ships that stack ready to use.
Subscribe on AWS Marketplace or Google Cloud Marketplace, enter your domain and admin email, and deploy. Allow 5-10 minutes for the stack to finish.
Create a DNS A record for your Redash domain with the server's public IP, so the certificate can be issued.
Open the dashboard and complete the initial setup form with your admin account and organisation name.
Add data sources under Settings → Data Sources. Configure SMTP in the environment file, then invite teammates from Settings → Users.
An AMI on AWS Marketplace, launched into your own AWS account with a CloudFormation stack.
Launch on AWS 
The same dashboard server as a Google Cloud Marketplace image, deployed into your own GCP project.
Launch on Google Cloud | Redash by Meetrix | Looker | Tableau | |
|---|---|---|---|
| Hosting | Your AWS account or GCP project | Google's managed infrastructure | Tableau Cloud or an on-prem licence |
| Data control | Queries and results stay in your account | Results pass through Google's platform | Depends on the deployment model |
| Pricing model | Cloud compute only, no per-seat fee | Per-user, usually enterprise pricing | Per-user licensing |
| Setup | Minutes from the marketplace | Days to weeks, plus onboarding | Days, plus licensing |
Comparing open-source BI tools instead? Read Metabase vs Redash vs Superset →
Most common SQL and NoSQL sources, including PostgreSQL, MySQL, BigQuery, Redshift, Databricks, MongoDB, Elasticsearch and Google Sheets. Add them under Settings → Data Sources with no redeployment.
Whoever writes the queries does. Everyone else can open the dashboards, filter them and read them without touching SQL.
No. It runs the open-source Redash stack inside your own AWS account or GCP project. There is no Redash Cloud or Databricks account involved.
SSH into the server, add your SMTP details to the environment file in /opt/redash, then restart with docker-compose down and docker-compose up -d. Invite teammates from Settings → Users.
Yes. Any query can refresh on a schedule, and alerts can notify you by email, Slack, PagerDuty and other destinations when results meet a condition.
t3.small on AWS, or e2-medium (2 vCPU, 4 GB RAM) with a 20 GB disk on Google Cloud. Choose a larger machine for heavy queries or many concurrent users.
Let's Encrypt certificates expire every 90 days. Re-run sudo bash /root/certificate_generate_standalone.sh on the server, or schedule it with cron.
Yes, by its open-source community, though releases are slower than they were before Databricks acquired the project in 2020.
Query builders, SSO, licensing and maintenance status, compared honestly.
Connect Redash to Postgres, Redshift, BigQuery or Databricks and build dashboards.
Query any data source and keep every row inside your own GCP project.
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