[ibains]

We’re very different from the ETL tools in that we’re bring software development best practices to data.

When you do visual drag and drop - prophecy is generating high quality code on git that is 100% open source (spark, airflow), you have tests and CI/CD - so you’re visually doing solid data engineering.

You can toggle between code and visual - so if you change the code (some), the visual graph updates - so small edits directly to git don’t break the visual layer.

All visual components are generated from a spec - think a Spark function with a some more info. So the data platform teams will create their own library/framework and roll it out to the wider teams. How it works us that in the visual editor, you start with standard Spark library, but can load visual components for delta, or encryption or data quality.

Our customers are typically fed up of these ETL tools and moving to us. We can also import the ETL formats (AbInitio, Informatica, …) in an automated way (we reverse engineered their formats and created source to source compilers)