The full modern data stack.
Deployed in your cloud.
Airflow, Airbyte, DataHub, and Superset — installed, wired together, and operated inside your own AWS, GCP, or Azure account. One flat rate. Zero compute markup. Your data lives in your own cloud account.
Managed platforms built a rental business
on your infrastructure.
You already pay AWS or GCP for compute. Then a vendor sits in front of it and charges you again — margins baked into every row, every seat, every connector. Your data lives in their cloud the entire time. For regulated businesses, that's not a tradeoff you get to make.
Three steps. Then your team's
back to data engineering.
No landlord in the middle. We connect to your cloud, run the operations layer, and hand your team a stack that's ready to ship on.
One CLI command connects your AWS, GCP, or Azure account. We provision into it — your data lives in your account. SSO wired from the start.
Cluster, IAM, Helm releases, monitoring, upgrades, on-call. All ours. The 3am page goes to us, not your data engineer.
Python, dbt, SQL, DAGs, dashboards. The job they were hired for. We handle the operational layer underneath it.
The tools serious data teams pick.
Wired together. Run as one product.
All open source. All Apache 2.0. No proprietary lock-in, no per-row pricing. Inspect it, fork it, take it with you — we run it, you own it.
The industry-standard orchestrator for authoring, scheduling, and monitoring data pipelines as code — battle-tested at scale across thousands of data teams.
300+ source connectors. No per-row pricing, ever. Your data moves inside your cloud — nobody takes a cut per row.
Lineage, ownership, and trust signals for every table and column — now the context layer AI agents and text-to-SQL read before they query, so they don't confidently return the wrong number.
Why the catalog is becoming AI infrastructure →
A modern open-source BI platform for building interactive dashboards and exploring data through no-code charts or raw SQL.
The tools don't change. What changes is who's asking them questions — and a catalog that was built for humans has to work for AI too.
The tools take a day.
Unifying them takes a quarter.
Airflow, Airbyte, DataHub, and Superset are each excellent on their own. Making them behave like one system — same identity provider, same network boundary, sized correctly, observable end to end — is the part that eats a platform team's quarter.
AirbyteNetworkingauth driftAirflowSizingmetric label collisionsDataHubIdentityOOM under fan-outSupersetObservabilitycross-cloud driftAirbyte→Airflow→DataHub→SupersetOne login. One integrated stack. Every seam pre-wired.
Build it yourself. Stitch a dozen
SaaS tools. Or run yours, by us.
- ✗Six months, three engineers, $1M+ before a pipeline ships
- ✗Data team owns ops 24/7
- ✗Single point of failure when the builder leaves
- ✗Crisis hits exactly when no one has time
- ✗35–60% compute margins baked in
- ✗Per-seat licensing compounds as you hire
- ✗Per-row fees balloon with data volume
- ✗Data leaves your infrastructure entirely
- ✓28 minutes, flat rate, your cloud
- ✓$0 markup on cloud compute
- ✓We own ops, upgrades, and the 3am pages
- ✓Open source — inspect, fork, escape