8 Best Snowflake Dashboard Tools in 2026
Snowflake bills by warehouse time, so every dashboard refresh has a cost. A good Snowflake dashboard setup uses result caching, right-sized warehouses and pre-aggregated tables, and it reaches the people who need the numbers without giving each of them a Snowflake login.
Below are eight Snowflake dashboard tools, with the point where each one stops. For building full apps, see the best Snowflake frontend builders.
The eight tools at a glance
| Tool | Type | Cost |
|---|---|---|
| Jet Admin | Dashboards plus internal tools | Free plan; paid tiers |
| Snowsight dashboards | Built-in charts | Included; compute billed |
| Streamlit in Snowflake | Python data apps | Included; compute billed |
| Sigma | Spreadsheet-style BI | Paid |
| Tableau | Enterprise BI | Paid |
| Power BI | Microsoft BI | Paid per user |
| Looker | Semantic-layer BI | Paid, enterprise |
| Metabase | Self-serve BI | Free self-hosted; paid cloud |
Dashboards you can act on
1. Jet Admin
Jet Admin connects to Snowflake and builds dashboards with charts, KPIs and tables, next to the screens where people act on what they see, 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 Snowflake.
People sign in without Snowflake accounts 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.
Inside Snowflake
2. Snowsight dashboards
Snowsight turns worksheet queries into simple dashboards inside Snowflake.
Where it stops: basic charts, and viewers need Snowflake accounts.
3. Streamlit in Snowflake
Streamlit apps run inside Snowflake for custom Python dashboards.
Where it stops: every screen is code, and viewers need Snowflake access.
BI tools
4. Sigma
Sigma was built for cloud warehouses and queries Snowflake live through a spreadsheet interface.
Where it stops: BI first, not operational screens.
5. Tableau
Tableau connects to Snowflake for deep visual analysis.
Where it stops: license cost, and live connections can use a lot of credits.
6. Power BI
Power BI has a native Snowflake connector with SSO support.
Where it stops: DirectQuery costs credits; imports go stale.
7. Looker
Looker defines metrics in LookML and serves governed dashboards on Snowflake.
Where it stops: enterprise cost and a modeling team.
8. Metabase
Metabase gives self-serve questions on Snowflake with caching.
Where it stops: less control over complex metric definitions.
Which to use
- Teams need Snowflake dashboards they can act on, without Snowflake accounts: Jet Admin.
- Analysts need quick charts in Snowflake: Snowsight.
- Python developers want custom apps: Streamlit in Snowflake.
- Analysts want spreadsheet-style BI: Sigma.
- Your company standardized on BI: Tableau, Power BI or Looker.
- You want self-serve BI on a budget: Metabase.
Frequently asked questions
How do I keep Snowflake dashboard costs down?
Use a small dedicated warehouse with auto-suspend, rely on result caching, and query aggregated tables or materialized views.
Do dashboard viewers need Snowflake accounts?
In Snowsight and Streamlit, yes. Tools that connect with a service account let viewers sign in to the tool instead.
Take Snowflake numbers further
Connect Snowflake to Jet Admin and build a dashboard.