Question 1

How is this different from Monte Carlo?

Accepted Answer

Monte Carlo tells you the pipeline broke. We tell you why, what to fix, and we remember it for next time. They are a smoke detector. We are a firefighter with institutional memory.

Question 2

How does contract auto-generation work?

Accepted Answer

Connect your repo (GitHub, GitLab, Azure DevOps). LakeLogic scans your SQL, dbt models, and Spark jobs, infers schemas and dependencies, then generates production-ready contracts automatically.

Question 3

How are contracts enforced?

Accepted Answer

Contracts validate at runtime or in CI/CD. If a change violates a contract (schema drift, quality rule failure), the pipeline fails early, and bad rows route to quarantine with exact failure reasons.

Question 4

Can business users define context without YAML?

Accepted Answer

Yes. The visual Contract Studio lets non-technical users add business context, ownership, and SLAs. Changes sync back to your version-controlled source of truth automatically.

Question 5

Is my data secure?

Accepted Answer

We only parse metadata (table names, column names, lineage), never your actual row-level data. Telemetry from your OSS pipelines carries rule names and row counts only. SOC 2 Type II certification is on our roadmap.

Engineering essays

from the data trust front

The Global Standard: Understanding the Open Data Contract Standard (ODCS)

Data Contracts Explained: Why 'Shifting Left' is the Future of Data Quality

Implementing Data Mesh: From Principles to Practical Domain Ownership