Modernize your analytics and AI capabilities by migrating from Snowflake to the Databricks Lakehouse Platform on Microsoft Azure. Our end-to-end migration service offers a structured, low-risk path to transition your data warehouses, ETL/ELT pipelines, and data science workloads into an open, high-performance ecosystem powered by Delta Lake and Apache Spark.

Why Migrate to Databricks on Azure

• Unified Data & AI Platform: Combine data warehousing, real-time streaming, and machine learning into a single architecture powered by Unity Catalog governance.

• Open & Future-Proof Standard: Eliminate vendor lock-in by storing data in open-source Delta Lake formats accessible to any engine or tool.

• Advanced AI & ML Capabilities: Train, tune, and deploy LLMs and ML models using native MLflow, Feature Store, and Databricks Mosaic AI integration.

• Performance & Cost Control: Leverage Serverless Compute and Photon query engine to scale compute independently while optimizing overall compute spend.
  
  

Migration Scope & Key Deliverables

• Assessment & TCO Modeling: Audit Snowflake assets (virtual warehouses, SQL schemas, Snowpark, tasks), evaluate total cost of ownership, and design the target Azure Databricks Lakehouse architecture.

• Schema & Data Migration: Execute automated DDL conversion and high-speed data migration from Snowflake tables into open Delta Lake tables on Azure Data Lake Storage (ADLS Gen2).

• Code & Pipeline Refactoring: Translate Snowflake SQL, stored procedures, and Snowpark/Python code into PySpark, Spark SQL, and Delta Live Tables (DLT) for automated orchestrations.

• Governance, Security & Cutover: Map Snowflake RBAC security rules to Databricks Unity Catalog, conduct rigorous data reconciliation, and provide team enablement with 30-day post-cutover support.

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