Should I use Redshift or Snowflake for BI reporting?

If your main goal is BI reporting, I’d usually lean Snowflake unless you have a strong AWS-centered reason to choose Redshift.

Quick recommendation

• Choose Snowflake if you want:

  • easier scaling and concurrency for many BI users
  • simpler operations and less tuning
  • strong performance for mixed workloads
  • cross-cloud flexibility
  • fast time-to-value

• Choose Redshift if you want:

  • a more AWS-native stack
  • tighter integration with AWS services
  • potentially lower cost if your workloads are steady and well-optimized
  • you already have strong Redshift expertise in-house

For BI reporting specifically

BI tools like Tableau, Power BI, Looker, or Mode tend to create:

• lots of concurrent queries
• dashboard refresh bursts
• ad hoc analyst queries
• a need for predictable performance

Snowflake generally handles those patterns more gracefully with less manual tuning. Redshift can work very well too, but it often benefits more from:

• careful data modeling
• workload management tuning
• sort/dist key design
• capacity planning

Cost considerations

• Snowflake: easier to start, but can get expensive if warehouses are left running or queries are inefficient.
• Redshift: can be cost-effective, especially on reserved capacity or RA3, but may require more admin effort to get good performance/cost balance.

Rule of thumb

• If you want the best BI experience with minimal ops, pick Snowflake.
• If you’re all-in on AWS and cost/control matters more than simplicity, consider Redshift.

If you want, I can also give you a decision matrix by use case or compare them for Power BI / Tableau / Looker specifically.