QuackyData is a small, senior team that designs, builds, and operates a modern data stack on your behalf — so you get trusted, analytics-ready data without standing up a data team of your own.
We started QuackyData after watching startups burn months and six figures trying to hire data engineers, only to end up with a fragile pipeline and no one on call when it broke. There’s a better path: proven open tools, assembled and run by a team that does this every day.
We treat your platform as our responsibility, not a project we hand off. Ingestion with Airbyte, a DuckLake lakehouse on object storage, dbt and DuckDB modeling, Dagster orchestration, and data-quality monitoring — all designed, deployed, and maintained under one managed contract, in your own cloud account.
We think most companies should have a serious data platform long before they can justify a full data team. These beliefs shape how we work.
Notes from the team on building and running modern data platforms — ingestion, lakehouse design, dbt modeling, orchestration, and data quality.
Raw data is not the same as data you can trust. Here is what analytics-ready means in concrete terms — raw, staging, and marts layers, tests and freshness — and why modeling is the difference between numbers and guesses.
Read moreA walk through the open-source stack QuackyData designs, builds, and operates — Airbyte, DuckLake, DuckDB, dbt, and Dagster — and why this specific combination runs in your own cloud without per-seat warehouse bills.
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