I need a warehouse that integrates with Airflow, dbt, and Looker

If you want a warehouse that works well with Airflow, dbt, and Looker, the safest choices are:

Best overall choices

1) Snowflake

Why it fits well:

• Strong native support across all three tools
• Easy integration with dbt
• Commonly used with Airflow via providers/operators
• Works very well with Looker
• Handles scaling and concurrent workloads cleanly

Best for: teams that want the smoothest ecosystem fit and low ops overhead.

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2) BigQuery

Why it fits well:

• Excellent dbt support
• Easy to orchestrate with Airflow
• Very solid Looker integration since both are Google products
• Good for analytics-heavy workloads

Best for: teams already using GCP or wanting a very managed warehouse.

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3) Amazon Redshift

Why it fits well:

• Works with Airflow, dbt, and Looker
• Good if you’re already deep in AWS

Tradeoff:

• Usually more operational overhead and tuning than Snowflake/BigQuery

Best for: AWS-centric teams.

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Quick recommendation

• Pick Snowflake if you want the most broadly compatible option.
• Pick BigQuery if you’re on GCP or want tight Looker alignment.
• Pick Redshift if you’re already standardized on AWS.

If you want, I can also give you:

1. a comparison table,
2. a decision based on your cloud provider, or
3. a recommended architecture using Airflow + dbt + Looker.