Redshift is where many AWS-based companies keep their reporting data. Dashboards on top of it need to respect concurrency limits, avoid waking serverless compute for every page view, and reach people who do not have AWS access.
Below are seven Amazon Redshift dashboard tools, with the point where each one stops. For SQL clients, see the best Redshift GUI tools.
The seven tools at a glance
| Tool | Type | Cost |
|---|---|---|
| Jet Admin | Dashboards plus internal tools | Free plan; paid tiers |
| Amazon QuickSight | AWS BI service | Per user or session |
| Tableau | Enterprise BI | Paid |
| Power BI | Microsoft BI | Paid per user |
| Metabase | Self-serve BI | Free self-hosted; paid cloud |
| Apache Superset | Open-source BI | Free self-hosted |
| Looker | Semantic-layer BI | Paid, enterprise |
The tools
1. Jet Admin
Jet Admin connects to Amazon Redshift and builds dashboards with charts, KPIs and tables, next to the screens where people act, including writing to operational databases or APIs. You describe the app and Jet generates it, then refine it visually or in code. Data stays in Redshift.
People sign in without AWS access and see only what their role allows. Granular permissions, SSO and audit logs are on the Business plan and above; unlimited users are on every plan, including Free.
Where it stops: it is not a semantic-layer BI tool for analysts modeling the warehouse.
2. Amazon QuickSight
QuickSight is AWS's BI service, with native Redshift support and SPICE caching.
Where it stops: an AWS-centric experience, and pricing grows with users.
3. Tableau
Tableau connects to Redshift for deep visual analysis, live or with extracts.
Where it stops: license cost.
4. Power BI
Power BI has a native Redshift connector.
Where it stops: DirectQuery can strain concurrency; imports go stale.
5. Metabase
Metabase gives non-analysts self-serve questions on Redshift with caching.
Where it stops: less suited to complex metric governance.
6. Apache Superset
Superset offers free, self-hosted dashboards with a SQL editor.
Where it stops: you run and maintain it.
7. Looker
Looker models metrics in LookML and serves governed dashboards on Redshift.
Where it stops: enterprise cost and a modeling team.
Which to use
- Teams need Redshift dashboards they can act on, without AWS access: Jet Admin.
- You want to stay inside AWS: QuickSight.
- Your company standardized on BI: Tableau or Power BI.
- You want free BI: Metabase or Superset.
- You need governed metrics: Looker.
Frequently asked questions
How do I stop dashboards from overloading Redshift?
Use workload management queues, cache results in the tool, and point dashboards at pre-aggregated tables or materialized views.
Does Redshift Serverless cost more with dashboards?
Every query wakes compute, so frequent auto-refresh adds up. Cache and schedule where you can.
Give Redshift a front door
Connect Amazon Redshift to Jet Admin and build a dashboard.