Overview
Devin can help migrate legacy SAS analytics workflows to modern PySpark, enabling you to leverage cloud-scale data processing, reduce licensing costs, and integrate with modern data platforms. As a open-source technology, PySpark provides the scalability and flexibility needed for big data analytics while maintaining the enterprise readiness of SAS. However, customers can also use Devin to migrate to cloud-native vendors like BigQuery and Snowflake!Case Study
Nubank Migration Case Study
Learn how Nubank successfully migrated their legacy ETL systems with Devin, achieving significant improvements in development velocity and code quality.
Why Migrate from SAS to PySpark?
Business Benefits
- Cost reduction: Eliminate expensive SAS licensing fees
- Cloud scalability: Process larger datasets with elastic cloud resources
- Modern ecosystem: Integrate with modern data tools (Databricks, AWS EMR, Azure Synapse)
- Open source: Leverage community innovations and avoid vendor lock-in
Technical Advantages
- Distributed processing: Handle massive datasets across clusters
- Real-time analytics: Support both batch and streaming workloads
- Flexible deployment: Run on-premises, cloud, or hybrid environments
- Rich ecosystem: Access to Python’s extensive data science libraries
Additional Resources
- PySpark Documentation
- Devin Playbooks - Create reusable migration workflows
- Devin Knowledge - Store SAS-specific patterns and solutions