Databricks Modernization Case Studies
Large Telecom: SAS to Databricks
SAS → Databricks
A large telecom operator converted 4,200 SAS programs — including complex macro libraries and SAS/STAT models — to PySpark and MLflow on Databricks.
Read Case Study →Snowflake Modernization Case Studies
Global Pharma: SAS to Snowflake
SAS → Snowflake
A global pharmaceutical company modernized 3,100 SAS programs supporting clinical trial analytics to Snowflake, preserving full regulatory audit trails and column-level lineage.
Read Case Study →BigQuery Modernization Case Studies
Healthcare Provider: SAS to BigQuery
SAS → BigQuery
A major healthcare provider modernized 1,900 SAS scripts supporting patient analytics and claims processing to BigQuery and Dataform, achieving HIPAA-compliant serverless scale.
Read Case Study →Open Engine & Iceberg Case Studies
National Grocer: SAS to Open PySpark
SAS → EMR Serverless + Glue
A US grocer converted 5,100 Grid and DI Studio jobs to plain Apache PySpark on EMR and Glue — same S3 prefixes, no Databricks or Snowflake control plane.
Read Case Study →P&C Carrier: SAS to Polars
SAS → Polars on Kubernetes
Actuarial and statutory jobs with a 3.4 GB median working set left a 16-node Grid for Polars LazyFrames. 41 programs over 64 GB used Spark on purpose, not by accident.
Read Case Study →Manufacturer: SAS to Iceberg (AWS / Azure / GCP)
SAS → Iceberg on three clouds
Three SAS Grids, one Iceberg spec: Glue+S3, ADLS+Hive Metastore, BigLake+Dataproc. Same PySpark modules, three catalog adapters, no forced lakehouse vendor.
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