Prompt
What data warehouse should I use with Power BI and Tableau?
Latest observation
Oct 8, 2026
OpenAI APIWeb search: off
If you want one data warehouse that works well with both Power BI and Tableau, the best choice depends mostly on your cloud stack, data volume, and team skills—but the safest default picks are:
Good general choices
-
Snowflake — often the easiest “best overall” choice
- Works very well with both Power BI and Tableau
- Strong performance, scalability, and concurrency
- Good if you want cloud flexibility and less admin overhead
-
Azure Synapse Analytics — best if you’re already in Microsoft/Azure
- Tight integration with Power BI
- Tableau support is solid too
- Best fit when your org is standardized on Microsoft tools
-
Google BigQuery — great for analytics-heavy, serverless use
- Strong Tableau support and good Power BI connectivity
- Minimal infrastructure management
- Nice if your data already lives in Google Cloud
-
Amazon Redshift — solid if you’re on AWS
- Works with both BI tools
- Best if your broader data platform is in AWS
My recommendation
- Choosing from scratch, cloud-agnostic: Snowflake
- Microsoft shop: Azure Synapse / Microsoft Fabric
- Google Cloud shop: BigQuery
- AWS shop: Redshift
Quick decision guide
Use Snowflake if you care most about:
- ease of use
- performance at scale
- strong BI compatibility
- low operational effort
Use Azure Synapse/Fabric if you care most about:
- Power BI first
- Microsoft ecosystem integration
- identity/governance consistency
Use BigQuery if you care most about:
- serverless analytics
- high-scale SQL analytics
- minimal ops
If you want, I can also give you a ranked comparison table of Snowflake vs Synapse vs BigQuery vs Redshift specifically for Power BI + Tableau.