As extra enterprises look to consolidate their knowledge platforms onto open, cost-efficient, and AI-native architectures, migrating from Snowflake to Databricks Lakehouse has turn into a strategic crucial. With Lakebridge, Databricks affords a seamless and automatic option to replatform Snowflake workloads to Delta Lake, leveraging Spark-native efficiency, Unity Catalog governance, and Lakehouse-native ML and streaming capabilities.
This text offers a complete, step-by-step clarification of how one can migrate from Snowflake to the Databricks Lakehouse utilizing Lakebridge. All key instructions, transformation logic, examples, and greatest practices are included.
Whereas Snowflake offers a robust cloud knowledge warehouse, organizations typically transfer to Databricks for:
Unified platform for BI, ML, and streaming
Open knowledge codecs (Parquet, Delta) for price effectivity
No vendor lock-in
Decrease TCO and higher concurrency with Photon engine
Built-in governance through Unity Catalog
