Find the path closest to yours. On these programs the share of code converted with no hand rewrite ranged from 55% 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 card issuer
COBOL and JCL → Databricks
Nightly card posting and collections were the last reason to pay for a mainframe partition. That batch now runs on Databricks, ran in parallel through two quarter-ends, and the partition is switched off. Card authorization was out of scope.
Book a COBOL to Databricks demo →Global insurer
Alteryx → Databricks
Per-seat Alteryx licenses and desktop-bound workflows were slowing actuarial reporting. The workflows now run on Databricks and the licenses are gone. Every output was matched during 90 days of parallel runs before switch-off.
Book an Alteryx to Databricks demo →Multinational energy firm
DataStage → Databricks
An aging DataStage 11.7 estate had to go. Just over half the jobs converted untouched; custom C stages took the most engineering. The settlement batch went from 5 hours to 38 minutes.
Book a DataStage to Databricks demo →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 →Asset manager
Informatica → Databricks
The firm left Informatica PowerCenter 10.x for Databricks. The daily NAV batch, which took 3.5 hours, now runs in 24 minutes, so the numbers are ready far earlier in the day.
Book an Informatica to Databricks demo →Snowflake
Global logistics company
Talend → Snowflake
Talend pipelines missed their windows every peak shipping season and depended on specialists who were hard to hire. They now run in Snowflake 6 times faster, with no critical incidents at cutover.
Book a Talend to Snowflake demo →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 →US federal agency
DataStage → Snowflake
The agency needed its on-premises DataStage servers gone while staying within FedRAMP requirements the whole way. The jobs now run as Snowflake SQL, 5 times faster.
Book a DataStage to Snowflake demo →Media company
Alteryx → Snowflake
The overnight ad-yield report took 11 hours and was often late for the sales team. On Snowflake it runs in 82 minutes, ready before the morning briefing.
Book an Alteryx to Snowflake demo →Auto manufacturer
Oracle ODI → Snowflake
Oracle integration licenses and servers were retired. The ODI scenarios and their Knowledge Modules now run as Snowflake SQL and scheduled tasks.
Book an ODI to Snowflake demo →Qlik Sense and QlikView estate
Qlik → Snowflake and dbt
700 Qlik load jobs had become the pipeline, QVD files and all. They now run as dbt models on Snowflake. The parser converts 90% on its own. The other 70 jobs are a named review list.
Read the case study →dbt on Snowflake
US health payer
Alteryx → dbt and Snowflake
Analyst-built workflows had no version control or tests. They are now 1,860 dbt models in Git, plus 540 Snowpark jobs for logic SQL can't express. The Alteryx Gallery is switched off.
Book an Alteryx to dbt on Snowflake demo →Global airline
DataStage → dbt and Snowflake
The jobs became 2,140 dbt models and 1,060 Snowpark jobs, with run order rebuilt from the old DataStage sequences. The DataStage engines are powered off.
Book a DataStage to dbt on 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 →E-commerce platform
Informatica → BigQuery
PowerCenter could not keep up with peak-season volume. Pipelines now run on BigQuery, and the fraud feeds were rebuilt as streaming loads, cutting their latency from 4 minutes to 12 seconds.
Book an Informatica to BigQuery demo →Global consulting firm
Alteryx → BigQuery
Client analytics ran on desktop Alteryx against data samples. Each client now has its own isolated BigQuery project, and benchmarks run on full histories in under 20 minutes.
Book an Alteryx to BigQuery demo →
SAS
DataStage
Alteryx
Talend
Oracle ODI
Mainframe COBOL
Databricks
PySpark
Snowflake
dbt
Google Cloud
Python
Informatica IDMC