Databricks and Snowflake are both powerhouses with different strengths Architecture: Databricks separates data storage and processing, while Snowflake takes a more unified data warehouse approach. Billing: Databricks offers a subscription or open-source model, while Snowflake uses a pay-per-use system. Use Cases: Databricks shines in machine learning and streaming, while Snowflake excels in analytics and reporting. Indexing & Ingestion: Databricks offers advanced indexing and both batch/continuous ingestion. Snowflake focuses on batch processing with less emphasis on indexing.