Transform your data architecture into a datalake. On premises or in the cloud

DataYoga is building an end-to-end visibility platform to modernize legacy data pipelines. Map, migrate, test, and deploy a datalake to AWS, GCP, Azure, or Databricks

End-to-end

Assess

Automatically build a complete dependency map of all sources, data stores, and consumers

Migrate

DataYoga transpiles legacy ETL code to a universal representation called DataYoga Markeup Language (DYML). Automagically generate modern, clean, beautiful code in PySpark, Spark, or Apache BEAM*

Test

Build and run regression tests and unit tests to verify everything is working as expected.

Deploy

Having your business logic in a cloud agnostic repository means you can truly be multicloud. Deploy to any cloud*

Integrated visual studio and pipeline builder

Visually author and build complex pipelines. Debug and run locally before deploying to production

Group collaboration

Create a single source of truth for data products and data dependencies

Painless migration - Up to 80% ETL code conversion automation

Manual migration of ETL code from Informatica and SSIS is time consuming and often results in low quality pipelines. DataYoga can automagically transpile and convert legacy ETL code to PySpark. The optimization engine further optimizes for readability and performance while adapting the code to modern data ingestion frameworks like Spark and Apache BEAM

Topology map and dependency analysis

Upload definition sets from Oracle, SQLServer, Business Objects, Informatica, SSIS, SAS, and more. Feed in database DDLs, ETL business logic, and watch your topology map grow. DataYoga will guide you to missing configurations and open questions to reach 100% coverage before starting the migration.

Kimberly Gush
Data Scientist, GMM ltd.

“We were able to quickly get visibility into the entire data topology of a 20-year-old environment. We could see which data products rely on which sources. Doing this manually would have taken us weeks, assuming we could even locate the knowledge experts within our team! ”

We are here to help

We provide professional services to modernize or migrate existing data pipeline throughout the project lifecycle. From planning, through design and implementation.

Contributors and Supporters