The logic lives in the ETL tool, and so does the lock-in.
Decades of mappings encode your business logic, and that logic lives inside the ETL tool. Rebuilding it by hand is unstaffable, and a license renewal forces the build-versus-renew decision anyway.
Day 0: land on Iceberg.
Every ETL migration starts with knowing what you have. Dagen connects to the catalogs and runtimes you already own, reads tables, views, pipelines, and legacy ETL, and builds live lineage and dependencies.
You choose the landing target, or Dagen’s agent recommends one. On AWS, the open destination is Iceberg on S3.
Day 1: modernize the ETL on AWS Glue.
Day 1 runs the modernized ETL on AWS Glue, in your AWS account.
Dagen’s agents build from the SQL, models, and jobs you already have, reusing them instead of ripping and replacing.
- EMR Serverless when the jobs need Spark at scale.
- Snowpark where Snowflake stays.
Day 2: a data foundation for AI agents.
Dagen is the data control plane for AI. Policy travels with the data: row- and column-level permissions apply before an agent ever sees a record.
Agent Views are governed, machine-readable views with definitions, access, and lineage attached, served over MCP to the apps and agents that use them.
Deeper product: data control plane · MCP.
Iceberg on S3. Your account. Your IAM.
Dagen deploys in your AWS account under your IAM and networking, and your data stays in your S3.
More on Dagen for AWS.
From legacy banking data to AI-ready infrastructure.
See how Dagen helped modernize a banking data warehouse, turning legacy ETL into modern pipelines on Apache Iceberg and AWS.
Informatica and Talend on AWS, answered.
Is this a rip-and-replace?+
No. Reuse over rip-and-replace: Dagen’s agents build from the SQL, models, and jobs you already have.
Does data leave our AWS account?+
No. Dagen deploys in your AWS account under your IAM and networking, and your data stays in your S3.
What does a first workload look like?+
Start with a single path to Iceberg on S3. Dagen’s agents read the pipelines and logic you already have, so you get a migrated pipeline, not a restaffed rebuild.
Bring one Informatica or Talend workflow to a technical demo.
We’ll walk through one path to Iceberg on S3, on the AWS account you already run.