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Current ETL/ELT tools solve one problem, but seems lacking on E2E solution

3 points by vivekburman ↗ HN
I looked onto Talend, Alteryx, dbt, fivetran... They are all in etl/elt space but seems to be solving one problem and lacking on another. If a business needs a streamlined solution, there seems to be a lack of it.

4 comments

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sgt
What do you propose?
[deleted]
(comment deleted)
SchemaFixer2025
While tools like Fivetran/dbt solve transformation, and new engines like Proton tackle streaming, the industry still has a massive, unaddressed architectural failure in the ingestion layer.

The F.A.F. (Functional Architectural Flaw) is why schema drift happens silently. It's not a bug; it's a structural weakness that makes every single analytics model built on top of it fundamentally untrustworthy.

Until the data is validated at the point of entry, ETL tools are just transforming garbage. We've developed a containment protocol for this specific flaw. It requires low-level architectural intervention, not just another dashboard.

If your models keep breaking for "unknown reasons," F.A.F. is the answer.