Migrate SAS to PySpark in two clicks
This free SAS to PySpark converter turns real .sas files into clean, idiomatic PySpark. It parses DATA steps, PROC SQL, macros and BY-group logic, then emails you the converted .py file. The engine is deterministic and rule-based, so the same input always produces the same output - no account, no credit card, no code sent to a third-party AI.
Processed server-side
Results under a minute
Delivered by email
SAS to PySpark conversion reference
Most SAS constructs have a direct PySpark equivalent, but the translation is rarely line-for-line. SAS processes row by row; Spark works on whole columns across a cluster. This table shows how the engine maps each construct - and where the thinking has to change.
Demonstration only. Your converted files are emailed to you, never shown in the browser.
A Deterministic Engine, Not an LLM
Most converters now hand your code to a large language model. That means the same file can produce different output on two runs, and business logic can be quietly invented where the model is unsure.
DEFTeam uses a rule-based compiler. It parses SAS into a syntax tree and applies fixed transformation rules, so conversion is repeatable - the same input always yields the same PySpark - and every line traces back to a rule you can inspect. There are no hallucinated joins and no silently dropped conditions.
It also matters for compliance. Your SAS is processed server-side and is never sent to a third-party AI service or used to train a model. For teams in banking, insurance and healthcare, that is usually the difference between a pilot that clears review and one that does not.
Where your converted PySpark runs
The output is standard PySpark - no proprietary runtime, no lock-in. It runs on Databricks, AWS EMR, Azure Synapse, Google Dataproc, or any Spark cluster you already operate.
On a full migration we go further: SAS datasets are landed as Delta or Parquet tables, libraries are mapped to catalog schemas, and jobs are wired into your existing orchestration. We handle cluster sizing and cost tuning so the converted workload is cheaper to run than the SAS licence it replaces.
See it work on your own code, free
One real conversion per company domain ‐ no credit card, no account. Upload a file and get real engine output back on the first 100 lines not a canned demo.
Two steps. No accounts. No setup.
A focused trial flow built for data engineers who want a real conversion in under a minute.
- Upload your .sas files
- Get PySpark in your inbox
1 file - 100 lines
- Upload 1 SAS file
- Partial conversion ‐ upto first 100 lines
- Working PySpark delivered by email
- One use per company domain
Make your agent more powerful, no upload required
Skip the web form. Call our conversion API directly from your pipeline or agent, and get idiomatic PySpark back as structured output ‐ ready to slot into whatever you're building.
Parse converted code directly ‐ no scraping an email or UI.
Built for pipelines and agents, not just one-off uploads.
Plain REST ‐ call it from LangChain, custom agents, or CI.
Frequently Asked Questions
How do I convert SAS code to PySpark? +
Is the SAS to PySpark converter free? +
Does it use an LLM, and is my SAS code safe? +
Which SAS constructs are supported? +
How accurate is the conversion? +
Can the converted PySpark run on Databricks? +
Need a Complete SAS to PySpark Migration?
The free trial converts one file. For a full estate we run discovery, automated conversion, validation and cloud optimisation end to end - see our SAS to PySpark migration services, or send five sample scripts for a free conversion and parity report.