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Services

Get closer to
the meaning of your data.

Explore how Provenix helps teams investigate SQL, follow dependencies, and communicate the logic behind their pipelines.

01 / TRACE

Data lineage exploration

Follow the journey from source tables to final outputs. Understand which columns contribute to a result, including the intermediate steps across your SQL project.

  • Table and column-level dependencies
  • Relationships across SQL files
  • CTEs, subqueries, and intermediate transformations
source↓transformation↓understanding
02 / EXPLAIN

SQL transformation analysis

Look beyond a column’s name to understand how it is calculated. Inspect the expressions and conditions that define the result.

  • Calculations and aggregation formulas
  • Join logic and filtering conditions
  • SQL-like and mathematical formula views
THE LOGIC BEHIND THE METRICrevenue =
SUM(amount)

Grouped by customer.
Traced to the source.

03 / DISCOVER

Visual data discovery

Put the pipeline in perspective with an interactive lineage graph. Move between an overview and the detail needed to investigate a specific question.

  • Visual navigation through data relationships
  • SQL project import from folders and GitHub
  • Database exploration for DuckDB, Snowflake, and Databricks
Your teamsShared contextYour partners
04 / UNDERSTAND

Data ontology exploration

Explore a searchable view of your tables, columns, formulas, and relationships, connected to the SQL behind them. Inspect how a field is calculated, where it comes from, and where it is used.

  • Search tables, columns, and extracted formulas
  • Inspect data types and transformation categories
  • Follow upstream sources and downstream uses
  • Browse the same extracted knowledge in diagram or list views
LET’S FIND THE RIGHT FIT

Your pipeline has its own story.

Tell us about your SQL environment and the questions you need to answer. Arrange a walkthrough to explore how Provenix can support your work.

Talk to us →
LET’S CONNECT THE DOTS

Make sense of what’s
behind your data.

Tell us about your team, your SQL, and the questions you’re trying to answer.

Start a conversation ↗