Can you help me choose a warehouse that won't get too expensive with lots of queries?

Yes — if you expect lots of queries, the key is to choose a warehouse optimized for concurrent readers, fast scans, and predictable pricing.

Good options by use case

1) BigQuery

Best when you want:

• Serverless setup
• Easy scaling with many queries
• Mostly pay for data scanned, not always-on compute

Watch out:

• Costs can rise fast if queries scan lots of data
• Best if you use partitioning, clustering, and limit unnecessary scanning

2) Snowflake

Best when you want:

• Strong concurrency
• Separate compute and storage
• Easy to scale warehouses up/down

Watch out:

• Cost depends on warehouse size and runtime
• Lots of frequent queries can get expensive if warehouses stay running

3) Amazon Redshift

Best when you want:

• More control over cost
• Good if you’re already on AWS
• Can be cheaper at steady, predictable workloads

Watch out:

• More tuning/maintenance than serverless options
• Concurrency can require extra planning

4) Databricks SQL / Lakehouse

Best when you want:

• Flexible analytics on large data
• Good for mixed workloads

Watch out:

• Can be cost-effective, but pricing can be less straightforward
• Needs governance to avoid runaway spend

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If “lots of queries” is your main concern

A few rules matter more than the warehouse name:

• Use partitioning/clustering to reduce scanned data
• Cache results where possible
• Avoid long-running always-on compute
• Separate heavy ETL from BI/query workloads
• Use autoscaling or auto-suspend
• Monitor query patterns to spot expensive queries

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Simple recommendation

• If you want lowest ops burden: BigQuery
• If you want strong performance and easy scaling: Snowflake
• If you want more predictable cost and AWS alignment: Redshift

If you tell me:

1. your cloud provider,
2. how many queries per day,
3. average data size scanned, and
4. whether queries are ad hoc or dashboard-style,

I can suggest the best warehouse more precisely.