§2 Chunk 01 — TRANSFORMS
A reproducible workflow — every transform is sealed into the file with its SQL — and compute portability — local by default, cloud only when you choose. Designed, not shipped.
TRANSFORMS0x02A0
In development. This format is designed, not shipped. Nothing to install yet — join the waitlist.
The TRANSFORMS chunk is the workflow, remembered. Filter, join, pivot — each transform is sealed into the file in order, with the SQL that produced it and a hash of the step itself, so the workflow replays exactly: same steps, same order, same result. The concept story's payload holds 14 steps; the count is the story, the shape is the spec.
Why it matters
A result you cannot replay is a rumor. Work usually lives in someone's session history — half-remembered filters, a join that took three tries, the one pivot that made the chart make sense. Sealing the steps with their SQL turns the workflow into an object: open the artifact months later, on different data, and the same steps run in the same order.
The chunk
Steps are stored in application order — the replay order — and each carries its own hash, so a tampered or truncated artifact fails loudly instead of silently drifting.
Compute portability
Compute is portable. The same workbench runs against a local file, a local database, or an attached MotherDuck workspace — and which one it uses is your call, made per query, not a setting you commit to up front. Local is the default; the cloud is an option you reach for, not a requirement you start with.
Most work belongs on your machine, where it is fast and private. Some work — a very large scan, a long-running aggregation — outgrows a laptop. Compute portability lets a single heavy query burst to the cloud while everything else stays local. You get the headroom when you need it without moving your whole workflow somewhere else, and without a heavy query blocking the rest of your session.
The query you write does not change when the engine does. Only where it runs moves — from your machine to an attached cloud workspace and back:
engine: duckdb · local # default — runs on your machine
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↓ attach when a query outgrows the laptop
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engine: motherduck · cloud # opt-in — only when you chooseThe choice is per query and reversible. Nothing is pinned to the cloud, and nothing is uploaded by default — the TRANSFORMS chunk records where each step ran, so the artifact remembers the engine split as faithfully as the steps.
Continue to §3 Chunk 02 — QUERIES.
§1 Chunk 00 — DATA
File-native at scale — the DATA chunk carries the workflow's source data by reference or by value, so a multi-gigabyte Parquet behaves like a small one. Designed, not shipped.
§3 Chunk 02 — QUERIES
One query, any source — join a Parquet file on disk to a live Postgres table in a single query, no ETL. The QUERIES chunk keeps the saved questions. Designed, not shipped.