8 Best PostgreSQL Dashboard Tools in 2026
PostgreSQL is supported by nearly every dashboard tool, and it is fast enough to power most internal dashboards directly. So the choice is about the audience: analysts exploring data, engineers watching metrics, or operations teams who need to see a number and then do something about it.
Below are eight Postgres dashboard tools, with the point where each one stops. For building full apps, see the best PostgreSQL frontend builders.
What a Postgres dashboard needs to do
- Connect with a read-only role, ideally to a replica.
- Handle Postgres types such as JSONB, arrays and time zones.
- Cache or pre-aggregate so heavy charts do not load the primary.
- Show each viewer only the rows they should see.
The eight tools at a glance
| Tool | Type | Cost |
|---|---|---|
| Jet Admin | Dashboards plus internal tools | Free plan; paid tiers |
| Metabase | Self-serve BI | Free self-hosted; paid cloud |
| Grafana | Metrics and time series | Open source; paid cloud |
| Apache Superset | Open-source BI | Free self-hosted |
| Looker Studio | Free reporting | Free |
| Power BI | Microsoft BI | Paid per user |
| Tableau | Enterprise BI | Paid |
| Redash | SQL dashboards | Free self-hosted |
Dashboards you can act on
1. Jet Admin
Jet Admin connects to PostgreSQL and builds dashboards with charts, KPIs and tables, next to the screens where people act: click a number, open the rows behind it, update them, run an approval. You describe the app and Jet generates it, then refine it visually or in code. Data stays in Postgres, and you can combine it with other sources from 200+ integrations.
People sign in with their own logins 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 or a database monitoring tool.
BI and reporting tools
2. Metabase
Metabase is the most common self-serve BI on Postgres, with a question builder and alerts.
Where it stops: read-only, and row-level permissions are on paid plans.
3. Apache Superset
Superset gives SQL users rich charts, free and self-hosted.
Where it stops: you run and upgrade it.
4. Looker Studio
Google's free reporting tool has a PostgreSQL connector.
Where it stops: the database must be reachable from Google, and large tables are slow.
5. Power BI
Power BI connects to Postgres and fits Microsoft-centric companies.
Where it stops: gateway setup for private databases, and per-user licenses.
6. Tableau
Tableau gives analysts deep visual exploration on Postgres.
Where it stops: license cost.
7. Redash
Redash turns SQL queries into charts and shared dashboards.
Where it stops: SQL-only, and development has slowed.
Monitoring
8. Grafana
Grafana's PostgreSQL data source is excellent for time series, especially with TimescaleDB.
Where it stops: built for engineers, not business reporting.
Which to use
- Teams need Postgres dashboards they can act on: Jet Admin.
- You want self-serve BI: Metabase.
- SQL users want open source: Superset or Redash.
- You need free reports: Looker Studio.
- Your company standardized on BI: Power BI or Tableau.
- You are charting time series or metrics: Grafana.
Frequently asked questions
How do I keep Postgres dashboards fast?
Point them at a read replica, index the filter columns, and use materialized views for heavy aggregates.
Can I use row-level security with dashboards?
Postgres RLS works when each viewer queries as their own database role, which few tools do. Most tools enforce row access in the app layer instead.
From number to action
Connect PostgreSQL to Jet Admin and build a dashboard.