Data definition management
Your data logic deserves a source of truth
Stakeholders define metrics visually. Engineers receive compiled code automatically. Every change versioned and approved.
THE PROBLEM
Logic with no home breaks pipelines
When data definitions exist only in meetings and documents, stakeholders keep revising them informally — and pipelines silently drift.
WITHOUT LOGICGATE
Monthly revenue = all transactions in the billing month
Actually, exclude chargebacks as well
Remove internal test accounts too
I mentioned this in last week's review
No record. No version. Pipeline breaks in production.
WITH LOGICGATE
Ayesha R. updated Monthly Active Revenue
Change: type NOT IN ["chargeback"]
Reason: "Finance audit requires chargeback exclusion from MRR"
Approved by: Dawood L. — VP Data
Every change logged. Pseudocode auto-updated.
HOW IT WORKS
From scattered requirement to compiled code
1
Stakeholder defines
Uses visual dropdowns and condition blocks. No SQL. No ambiguity.
2
Engineer reviews
Inspects the change, approves or requests clarification with a written note.
3
LogicGate compiles
Definition auto-compiles to SQL, Python, or dbt. Versioned and timestamped.
4
Pipeline stays consistent
Copy output into your pipeline. No logic drift. No surprise revisions.
SEE IT IN ACTION
Define once. Compile to anything.
A definition built visually compiles to four formats — always in sync with the latest approved version. Edit a filter below to recompile live.