Proven SAS to Databricks Migration with Senior Engineers
Migrating SAS System to Databricks is straightforward: we convert SAS macros, DATA steps, and SAS datasets (SAS7BDAT) into PySpark and Spark SQL, ensuring data and calculation parity while eliminating high SAS licensing
The lowest-cost way off SAS System: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support SAS System → Databricks after migration
- ✓Senior platform engineers execute your migration.
- ✓Fixed-scope projects prevent budget overruns.
- ✓Guaranteed data and calculation parity.
- ✓40-70% savings on legacy support while you plan.
- ✓Your existing vendor support continues until renewal lapses.
SAS Renewal Clock
Your upcoming multi-million dollar SAS renewal pressures the budget exactly when you need to invest in modern analytics.
Lakehouse Mandate
Enterprise-wide mandate to move to a Lakehouse architecture is non-negotiable – but you can't afford a failed or delayed migration.
Proprietary Lock-in
SAS macros, DATA step loops, and proprietary PROCs (like PROC SQL) lock your team into a shrinking talent pool – modern SAS developers are scarce.
SAS System → Databricks migration — your questions answered
How do you handle SAS macros during the migration?+
We convert them to PySpark user-defined functions or native Spark SQL, preserving the original business logic exactly.
What about SAS7BDAT files – how do you convert them?+
We extract data directly into Delta Lake format, maintaining schema and data integrity. No lock-in.
What if our SAS vendor renewal lapses mid-migration?+
Our independent third-party support covers most operational issues on the legacy platform, so you’re not forced to pay a full renewal just to buy time for the migration.
How do you guarantee calculation parity?+
We run parallel comparison tests using your original SAS outputs as golden benchmarks, ensuring every calculation matches exactly.
Get Your Free SAS Code Assessment & TCO Comparison
After migration, we keep your Databricks environment optimized with managed support, automated PySpark pipeline maintenance, and platform monitoring.