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Data pipeline diagram maker.

Describe the sources, processing steps, checks, storage, and destination, and get a data pipeline diagram that makes the flow and failure paths clear.

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See it work

Data pipeline diagram examples.

Same tool, four requests. Every drawing below is a real render.

What you type
Create a daily data pipeline flowchart that extracts changed PostgreSQL orders to Cloud Storage, checks the schema, quarantines failures, deduplicates records, validates revenue and row counts, loads BigQuery, runs a MERGE and dbt marts, then publishes sales dashboard data.
Then tryAdd a backfill branch for a selected date rangeChange BigQuery to Snowflake
Flowchart: Nightly sales ETL
Flowchart · Sugiyama layered DAG + orthogonal routing · schematex-flowchart

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The drawing

What a data pipeline diagram is.

A data pipeline diagram shows how data moves from a source to a destination. It names the stages that ingest, validate, transform, store, and publish the data, with arrows showing the order and branches for rejected records or failed runs.

Use one to explain a system before it is built, document the system that exists, or trace where a dataset was changed. Include the checks and handoffs that matter to the people operating the pipeline.

Standard
Sugiyama layered DAG + orthogonal routing
Engine
schematex-flowchart
Editable
Double-click text, drag nodes
Export
SVG · PNG · PDF
Flowchart: What a data pipeline diagram is
Who uses it

Who uses data pipeline diagrams.

Flowchart: Data engineersData engineers

Batch and streaming jobs with the sources, tests, storage layers, and outputs that must be operated together.

Flowchart: Analytics teamsAnalytics teams

Warehouse transformations that show how operational data becomes metrics and dashboards.

Flowchart: Product and platform teamsProduct and platform teams

Event pipelines that make validation, privacy filtering, and downstream analytics visible.

How it works

How to make a data pipeline diagram in three steps.

01

Describe it

One paragraph is enough to start.

“Create a daily data pipeline flowchart that extracts changed PostgreSQL orders to Cloud Storage, checks the schema, quarantines failures, deduplicates records, validates revenue and row counts, loads BigQuery, runs a MERGE and dbt marts, then publishes sales dashboard data.”
02

See the drawing

Drawn by the right engine.

Flowchart: Nightly sales ETL
03

Say what changes

Every edit keeps a version.

Add a backfill branch for a selected date range
V2 · DRAWN FROM V1, NOTHING RETYPED
FAQ

Common questions

What is a data pipeline diagram?

It is a visual representation of how data moves through collection, processing, storage, and delivery stages.

What should a data pipeline diagram include?

Include sources, transformations, validation or quality checks, storage systems, destinations, and any meaningful failure path.

How is ETL different from a data pipeline?

ETL is one kind of pipeline that extracts, transforms, and loads data. A pipeline can also stream events, train models, or publish metrics.

Why show failure paths?

They show what happens when data is invalid, late, or incomplete, which helps people operate and troubleshoot the system.

Related tools

Other drawings for the same work.

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Free account, no card. Describe the sources, steps, and destination.

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