management summary
What this is, in one page
A managed data platform — orchestration, catalog and lineage, and pipeline generation, usable separately or together — built on open source, run in our cloud or entirely on yours. This page is for deciding whether to adopt it, not for building on it; forward it to whoever needs the summary.
why organizations adopt this
Three pressures that push toward a managed platform
Manual reporting doesn't scale
Spreadsheets and ad-hoc scripts stop working long before your data volume does. This replaces that with pipelines that run themselves.
Every tool needs its own access review
A separate login and permission model per tool is a growing audit burden. One identity system covers every component here.
Data residency is a real constraint
Run it in our managed cloud, or entirely on your own hardware — the same platform either way, no rebuild required if that decision changes later.
what changes once you do
The four things a sponsor actually asks about
Your data stays yours
Every customer gets a fully separate, dedicated environment — its own identity, storage, and access controls, isolated from every other customer.
Weeks, not a rebuild
Built on established open-source projects (Airflow, Spark, Trino, JupyterHub) — your team isn't learning a proprietary system from scratch.
Sized to fit, not oversold
Three sizing tiers mirror deployment profiles already running in production today — not invented marketing numbers.
No dev/prod drift
The exact code path an analyst runs by hand is the code path that runs unattended in production. Nothing to keep in sync separately.
governance in one paragraph
Isolation and control, not a shared black box
Every customer's environment — identity, data, and the pipelines that touch it — is separate from every other customer's, down to the Kubernetes identity a job runs under. Nothing here is a proprietary format you can't leave with: it's Apache Airflow, Apache Spark, Trino, and JupyterHub underneath, so your team's skills and your data both stay portable.