Data Lake ETL PaaS

Simple data lake management for organizations.

What is Data Lake ETL PaaS?

We help teams turn messy, scattered data into a single, usable Data Lake. Our service handles everything from ingesting databases, streams, and files to storing, organizing, and exposing data for analysis. We work with cloud storage (AWS S3, GCP, Azure), common databases and NoSQL systems, and streaming sources. Using table formats like Hudi, Delta, or Iceberg we enable efficient updates and CDC. We add metadata catalogs and governance so analysts can find and query data easily, and we can deliver the full codebase and bootstrap the solution inside your cloud account.

Key features

Ingest structured, semi-structured, and unstructured data from many sources.
Store and manage data on AWS S3, GCP, and Azure.
Implement CDC with Hudi, Delta Lake, or Iceberg.
Provide metadata catalogs for easy discovery using Glue or Unity.
Connect lakes to warehouses like Redshift and BigQuery for analytics.
Deliver full codebase and bootstrap setup inside your cloud account.