Can you recommend a warehouse for a team with mixed workloads and lots of dashboards?

Yes — if your team has mixed workloads and lots of dashboards, I’d generally recommend a warehouse that’s strong on concurrency, caching, and BI performance, not just raw compute.

Best-fit recommendations

1. Snowflake — best default choice for mixed workloads + dashboards

Why it fits:

• Handles many concurrent dashboard users well
• Easy to separate workloads using virtual warehouses
• Good for teams doing a mix of:
  • analytics
  • ad hoc queries
  • ELT/ETL
  • BI dashboards
• Scales without much operational burden

Tradeoffs:

• Can get pricey if queries are inefficient or warehouses are oversized
• Performance tuning is simpler than some systems, but cost control still matters

Best if: you want the safest all-around option with minimal ops overhead.

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2. BigQuery — great if you’re already in Google Cloud and want serverless

Why it fits:

• Very easy to operate
• Works well for spiky dashboard usage
• Good for teams that don’t want to manage warehouse sizing much
• Strong integration with the Google ecosystem

Tradeoffs:

• Cost can be unpredictable for heavy dashboard/query workloads if not controlled
• Some teams find query optimization and governance more important here

Best if: you want low maintenance and are comfortable managing query/cost discipline.

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3. Redshift — solid if you’re AWS-centric and want tighter control

Why it fits:

• Good if your data stack is already in AWS
• Can be cost-effective at scale
• Works well for structured analytics workloads

Tradeoffs:

• More operational effort than Snowflake/BigQuery
• Dashboard concurrency can require more tuning

Best if: your team is deeply embedded in AWS and has data engineering support.

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What I’d choose by situation

• Most teams: Snowflake
• Google Cloud-first / low-ops: BigQuery
• AWS-first / more tuning acceptable: Redshift

Important features for your use case

Since you mentioned lots of dashboards, prioritize:

• High concurrency
• Fast query response
• Separate compute pools / workload isolation
• Caching
• Good BI tool integration (Tableau, Looker, Power BI, Mode, Sigma, etc.)
• Governance and cost controls

Short answer

If you want one recommendation without more context: Snowflake is usually the best fit for a team with mixed workloads and lots of dashboards.

If you want, I can also give you:

1. a warehouse comparison table, or
2. a recommendation based on your cloud stack, BI tool, and data size.