Low-Code ETL lets data teams build extract, transform, and load pipelines through a visual, drag-and-drop canvas — no hand-written code — while quality gates, lineage, and PII masking are applied automatically.
Hand-coded ETL is slow to build, hard to govern, and impossible to audit at scale — every pipeline a black box only its author understands.
Every transformation requires an engineer, every change a code review. Business teams wait, and the backlog of data requests grows with each new source.
When ETL logic lives in scattered scripts, quality rules and PII handling are added manually — inconsistently, and often forgotten until an audit finds the gap.
Custom code that only its author understands cannot be audited. When a regulator asks how data was transformed, hand-written ETL has no clear answer.
Pull sources, transformations, and targets onto the visual canvas — no code.
Set cleanse, join, enrich, and mask steps through guided controls.
Quality gates and PII masking apply automatically; lineage is captured per step.
Schedule or trigger the pipeline — governed, repeatable, and fully auditable.
Build extract, transform, and load flows by dragging sources, transformations, and targets onto a canvas — low-code ETL that business and data teams use together.
Every transformation step inherits governance — quality gates, PII masking, and access controls apply automatically, so low-code does not mean ungoverned.
Each visual step records lineage, so the complete transformation path from source to target is auditable — no black-box scripts a regulator cannot follow.
Save transformations as reusable building blocks, so teams standardise logic across pipelines instead of rewriting the same code in every job.
Business and data teams build governed pipelines in hours, not weeks — clearing the engineering backlog without sacrificing control or auditability.
Connect databases, warehouses, lakehouses, SaaS, and files as pipeline sources or targets, all governed identically through the low-code ETL builder.
Low-code ETL is a visual approach to building extract, transform, and load pipelines through a drag-and-drop canvas instead of hand-written code. Tantor's low-code ETL applies quality gates, PII masking, and lineage automatically, so pipelines are governed by default.
Low-code ETL lets both data engineers and business-aligned teams build governed pipelines without writing code. The visual canvas clears the engineering backlog by letting more people build extract, transform, and load flows safely.
Yes. Unlike ad-hoc scripts, Tantor's low-code ETL is governed by default — every visual transformation step inherits quality gates, PII masking, and lineage, so pipelines built without code remain fully auditable for regulated industries.
Hand-coded ETL is slow to build and hard to audit because logic lives in scattered scripts. Low-code ETL makes the pipeline visual and self-documenting, with lineage captured per step — so transformations are transparent and governance is consistent.
See how Tantor Low-Code ETL lets your teams build governed extract, transform, and load pipelines visually — with quality, lineage, and PII controls built in.