Strategies, best practices, and expert guidance for modernizing SAS to Databricks, PySpark, Snowflake, and BigQuery. New articles are coming soon — but you can see SAS2PY in action right now.
Schedule a Live DemoSAS licensing costs continue to rise while open-source and cloud-native platforms deliver more power at a fraction of the price. The window for modernization is now.
SAS licensing can consume a significant portion of analytics budgets. Migrating to Python, PySpark, or Snowflake eliminates recurring vendor lock-in and opens the door to modern tooling.
Fewer graduates learn SAS. Python and SQL dominate data science curricula. Modernizing your codebase makes it accessible to a broader, more available workforce.
Databricks, Snowflake, and BigQuery offer elastic compute, native parallelism, and built-in governance. SAS workloads converted to these platforms run faster and scale effortlessly.
In a personalized demo, our team parses your actual SAS code and walks you through the converted output, lineage maps, and validation results.
Upload Base SAS, Enterprise Guide, DI Studio, or SAS Viya programs. We parse them live and show the converted Databricks, PySpark, Snowflake, BigQuery, or Polars output.
See column-level lineage generated automatically from your SAS programs. Trace every variable, macro, and transformation from source to target.
Compare SAS and target outputs side by side. SAS2PY runs automated validation to confirm functional equivalence across every conversion.