Find the path closest to yours. On these SAS programs the share of code converted with no hand rewrite ranged from 84% to 94%; engineers reviewed the rest, and every output was checked against the original before cutover. Your own number comes from a pilot on your code.
Open engines
National grocer
SAS → PySpark on AWS
Replenishment and loyalty analytics ran on a SAS Grid the business no longer wanted to fund. The jobs now run as plain PySpark in the AWS account they already had. Nightly replenishment finishes in 1 hour 50 minutes, down from 5 hours 40.
Book a SAS to PySpark demo →Property-and-casualty carrier
SAS → Polars
Actuarial and statutory reporting ran on a 16-node SAS Grid, yet most jobs touched only a few gigabytes. Polars retired the Grid without adding a Spark cluster to run. Only 41 very large programs needed Spark.
Book a SAS to Polars demo →Global manufacturer
SAS → Iceberg on AWS, Azure, and Google Cloud
Three regional SAS Grids sat on three different clouds. They now share one open table format and one codebase, so each region kept its cloud and no single vendor owns the data.
Book a SAS to Iceberg demo →Databricks
US telecom
SAS → Databricks
Years of SAS macro libraries and statistical models moved to Databricks, models included. Pipelines run 3 to 6 times faster, and the models are now tracked in MLflow.
Book a SAS to Databricks demo →Snowflake
Global pharma company
SAS → Snowflake
Clinical-trial analytics had to move without losing anything regulators inspect. The programs run on Snowflake with the audit trail and column-level lineage intact.
Book a SAS to Snowflake demo →BigQuery
US healthcare network
SAS → BigQuery
Clinical and claims analytics left SAS and Teradata for BigQuery. Queries run 7 times faster, and live clinical reporting never went down during the move.
Book a SAS to BigQuery demo →
SAS
Databricks
PySpark
Snowflake
dbt
Google Cloud
Python
Informatica IDMC