Why it matters
Picking the wrong compute layer can waste money and slow down the team.
9 min
Beginner
Databricks
Clusters vs SQL Warehouses
Clusters are general-purpose compute for Spark-style workloads. SQL warehouses are tuned for SQL queries and analytics serving.
Real-world example
Use a cluster for ETL transformations and a SQL warehouse for dashboard queries.
Common mistake
Using one compute option for every workload because it is familiar.
Next move
Read: Delta Lake Basics
Quick sketch
Remember
Clusters are general-purpose compute for Spark-style workloads. SQL warehouses are tuned for SQL queries and analytics serving. Picking the wrong compute layer can waste money and slow down the team.
What to remember
- Clusters are general-purpose compute for Spark-style workloads. SQL warehouses are tuned for SQL queries and analytics serving.
- Picking the wrong compute layer can waste money and slow down the team.
- Use a cluster for ETL transformations and a SQL warehouse for dashboard queries.