Dwh.dev documentation
  • What is Dwh.dev?
  • Features
    • Data catalog
      • PIPEs
      • Fancy SQL Highlight
    • Data Lineage
      • Object-level lineage
      • Column-level Lineage
      • In-query lineage
      • Navigation
      • JOIN and WHERE
      • Equals column lineage
      • Strong and Weak dependencies
      • Default and Virtual Columns
      • Implicit Types casting
      • Circle dependencies
      • Argument forwarding
    • TASKs
  • Integrations
    • Snowflake
      • Offline mode
      • Secured online mode
      • Snowflake Marketplace
    • DBT
    • ETL
    • BI
      • Looker
      • Other
    • API
  • Snowflake SQL Syntax and Behavior
    • Identifiers
    • Reusing column aliases
    • SELECT * ILIKE EXCLUDE REPLACE RENAME
    • Scalar functions name resolution special behavior
    • Functions overloading
    • CTE as an expression alias
    • ASOF Join
    • UDF named arguments
    • Objects auto renaming
    • Columns auto renaming
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  • Dwh.dev - next-gen data lineage for Snowflake
  • How does it work?

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What is Dwh.dev?

Last updated 8 months ago

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Dwh.dev - next-gen data lineage for Snowflake

We provide a unique data lineage solution built especially for Snowflake users.

is designed to help data teams easily understand, document, and manage their data flow.

With , you can search and visualize your data lineage, track data dependencies issues, and better understand your data pipelines.

It's a perfect solution for data engineers, analysts, and scientists who want to boost their productivity and efficiency.

It's easy to start: any type of takes about a few minutes!

How does it work?

is based on a static analyzer. We parse SQL, then compile it into an internal representation and analyze it automatically.

We don't use information from Snowflake system tables, which allows us to provide features such as:

  • : building data lineage without a direct connection to your database.

  • : when directly connected to the database, we only request access to metadata, without having direct access to the data.

  • visualizing the dependency graph within a query.

  • : displaying a hidden dependency graph based on conditions in JOIN and WHERE.

  • And much more.

You can access the parsing and compilation results through .

Dwh.dev
Dwh.dev
integration
Dwh.dev
Offline mode
Secured online mode
In-query lineage:
Equals lineage
our API
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