01
Lower Platform Costs
Reduce dependence on proprietary licensing and shift workloads to open-source Python and elastic cloud infrastructure.
Automated Enterprise Modernization
SAS to PySpark Migration – Faster, Validated and Production Ready
Move legacy SAS programs to scalable Python and PySpark without losing critical business logic. DEFTeam combines automated code conversion, expert remediation and side-by-side validation for a controlled path to modern analytics.
30+ migration
projectsValidation-led
deliveryCloud-ready
PySpark
Assess
Inventory, lineage and complexity
Convert
SAS logic to clean PySpark
Validate
Data and functional parity
Deploy
Cloud-ready production workloads
Why Modernize SAS
Reduce Legacy Cost Without Rebuilding Analytics From Scratch
SAS estates often contain years of trusted business logic. Our approach preserves that value while replacing restrictive, difficult-to-scale components with open, maintainable data engineering.
02
Scale Large Workloads
Use distributed PySpark processing for data volumes and transformations that are difficult to scale economically in legacy environments.
03
Modernize Skills
Give engineering and analytics teams a widely adopted codebase that is easier to maintain, test, integrate and extend.
04
Accelerate Cloud Adoption
Prepare workloads for Databricks, Fabric, Azure, AWS, Google Cloud and other modern Spark-compatible platforms.
05
Strengthen Governance
Create a documented inventory, dependency map, transformation record and validation evidence for each migrated workload.
06
Enable AI and Advanced Analytics
Make trusted data pipelines accessible to modern machine learning, AI engineering and self-service analytics tools.
Engagement models
SAS to Python Consulting Services
Automated conversion, backed by hands-on SAS to Python consulting services when your migration needs a human in the loop.
Automated
Managed SAS to PySpark Conversion
Fully managed pipeline: audit, compile, validate, and optimize your SAS to PySpark migration end to end.
Start a pilot
Advisory
SAS to Python Migration Consulting
Our engineers work alongside your team on dependency mapping, validation sign-off, and rollout planning.
Talk to consulting
Enterprise
SAS to Databricks Migration Support
Cluster sizing, cost tuning, and production hardening once your converted PySpark code lands on Databricks.
Request scoping callEnd-to-End Migration Framework
From SAS Estate Discovery to Production PySpark
Conversion is only one part of a successful migration. DEFTeam brings assessment, transformation, validation and deployment into one governed delivery process.
Discover and Assess
Inventory SAS programs, macros, procedures, schedules, data sources, dependencies and complexity hotspots.
Convert and Refactor
Transform supported constructs automatically, apply reusable migration patterns and remediate complex logic.
Validate and Reconcile
Compare schemas, row counts, values, precision and business outputs through repeatable side-by-side testing.
Deploy and Optimize
Package, orchestrate, monitor and tune production workloads for the selected cloud or data platform.
More than Syntax Translation
Built for Real-World SAS Complexity
Enterprise SAS environments include far more than isolated scripts. We account for macros, formats, procedures, metadata, dependencies, scheduling and downstream consumers.
- Base SAS and DATA steps: conditional logic, merges, sorting, aggregations and transformations.
- PROC SQL and procedures: conversion to efficient DataFrame, SQL or approved Python equivalents.
- Macros and reusable logic: dependency-aware translation into maintainable functions and modules.
- Validation evidence: traceable results for data parity, exception handling and UAT.
Case Studies
Modernization Outcomes Across Healthcare and Enterprise Analytics
See how DEFTeam applies automated conversion and validation to lower migration risk and create measurable business value.
Healthcare Migration
Replacing Legacy SAS Analytics for a Major Healthcare Organization
DEFTeam modernized a large healthcare analytics environment by converting trusted SAS workloads to Python and PySpark, validating equivalent results and preparing the solution for scalable, long-term operation.
Large-scale
SAS workload conversion
Validated
Business output parity
Lower cost
Reduced legacy dependence
AHRQ Quality Indicators
AHRQ SAS Modules Modernized in Python
DEFTeam converted AHRQ Quality Indicator logic from SAS into a modern Python implementation for healthcare quality reporting. The solution helps organizations reduce reliance on legacy SAS while retaining established analytical logic.
Explore the AHRQ case study
Enterprise Modernization
Bulk SAS Conversion at Scale
Inventory, prioritize and convert large SAS estates through a phased factory model with reusable rules, quality gates and governed releases.
See the bulk migration approach
Target Platforms
Deploy PySpark Where Your Data Strategy Is Going
We align converted workloads with your target architecture, security model, orchestration standards and operational requirements.
Databricks
Microsoft Fabric
Azure Synapse
AWS Glue
Amazon EMR
Google Dataproc
Snowflake
Apache Spark
FAQ
SAS to PySpark Migration FAQ
What is SAS to PySpark migration? +
It's the process of converting legacy SAS Data Steps, PROCs, and macros into PySpark DataFrame code, so the same business logic runs on distributed cloud infrastructure instead of a legacy SAS server.
How is SAS to Python conversion different from SAS to PySpark conversion? +
SAS to Python conversion targets single-node Python and pandas workloads. SAS to PySpark conversion targets distributed, cluster-scale execution. Our rule-based engine supports both output targets from the same SAS codebase.
Do you support SAS to Databricks migration specifically? +
Yes — converted PySpark code is tuned for distributed, memory-optimized execution on Databricks, as well as AWS EMR and Azure Synapse.
Does converting SAS code to Python expose our code to AI models? +
No. DEFTeam runs on a deterministic, rule-based engine rather than an LLM, so your SAS source is never sent to a third-party AI service or used for training.
Can we get SAS to Python consulting services alongside automated conversion? +
Yes. Alongside the automated pipeline, our team offers SAS to Python consulting services covering dependency mapping, validation sign-off, and cloud cost optimization.
Build a Fact – Based Plan for Your SAS Modernization
Share a representative SAS workload and target platform. We'll help you define scope, identify complexity, demonstrate conversion quality and establish a validation–led migration roadmap.