Snowflake to Databricks migration
Case Study
The challenge - migration from Snowflake to Databricks and cutting costs by 70%
Finanzwelt is a leading fintech company specializing in digital banking solutions, payment processing, and financial analytics. As their data volumes surged, their existing Snowflake data warehouse struggled with handling complex machine learning workloads and real-time analytics. Managing separate environments for data storage, processing, and ML model training led to data silos and escalating operational costs.
Turnover
8+ Months
Company
Finanzwelt
Industry
Fintech
Budget
Confidential
With customer demands evolving rapidly, Finanzwelt needed a unified data platform capable of seamlessly integrating data engineering, analytics, and AI initiatives. After careful evaluation, they decided to migrate from Snowflake to Databricks to leverage its unified lakehouse architecture, consolidate their data ecosystem, improve cost efficiency, and accelerate innovation cycles for new financial products and services.
Databricks Expertise
Finanzwelt partnered with Dateonic, a leading Databricks consultancy, to ensure a smooth and efficient migration. Dateonic conducted a comprehensive assessment of Finanzwelt’s data assets and workloads, identifying inefficiencies and potential migration challenges. A cross-functional team of data engineers, analysts, and ML specialists from both companies collaborated on the project.
Dateonic devised a phased migration strategy, beginning with non-critical workloads before transitioning core financial analytics. The team leveraged Databricks’ migration accelerators to streamline the transfer of schema definitions, SQL query transformations, and data pipeline optimizations. Throughout the process, Dateonic ensured best practices for security, compliance, and performance optimization were implemented.
Results & Impact
- 45% Cost Reduction – Lower total cost of ownership compared to the Snowflake implementation.
- Accelerated ML Model Development – Reduced model training cycles from weeks to days.
- Improved Data Governance & Security – Achieved seamless compliance with financial regulations through Unity Catalog integration.
- Enhanced Real-Time Analytics – Enabled instant insights into payment processing and financial transactions.