Wavelength

Postgres to Snowflake with Airbyte diagram

This is a worked example. Wavelength built the diagram below from the description on this page. Nobody drew it by hand.

What was said

The product application writes to a Postgres database. Airbyte reads the Postgres change log and loads the changes into Snowflake every 15 minutes. dbt builds the product analytics models. The product team explores the models in Hex, and the growth team sends the key events to Braze for campaigns.

The diagram

G n1 Product Application n2 Postgres n1->n2 writes n3 Airbyte n3->n2 reads change log n4 Snowflake n3->n4 loads changes n5 dbt n4->n5 builds models n7 Hex n5->n7 models explored n6 Product Team n6->n7 explores models n8 Growth Team n9 Braze n8->n9 sends key events
Hexagons are systems. Cylinders are data stores. Diamonds are decisions. Rounded orange boxes are people and teams. A dashed amber arrow is a link the AI inferred. Pink arrows are decision branches. Blue arrows move data.

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What is in this flow

  • Systems: Airbyte, dbt, Hex and Braze.
  • Data stores: Postgres and Snowflake.
  • People and teams: Product Team and Growth Team.
  • Size: 9 steps and 7 connections.

Mermaid code

Copy this into any Markdown file, GitHub README, or Mermaid Live to render the same flow.

flowchart TD
  n1(["Product Application"])
  n2[("Postgres"])
  n3{{"Airbyte"}}
  n4[("Snowflake"])
  n5{{"dbt"}}
  n6("Product Team")
  n7{{"Hex"}}
  n8("Growth Team")
  n9{{"Braze"}}
  n1 -->|writes| n2
  n3 -->|reads change log| n2
  n3 -->|loads changes| n4
  n4 -->|builds models| n5
  n5 -->|models explored| n7
  n6 -->|explores models| n7
  n8 -->|sends key events| n9

Map your own process

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