New in Steep: Semantic graph

February 12, 2025·2 min read

Steep’s Semantic Graph gives you a complete overview of your data tables and their relationships, making it easier than ever to define join paths between them.

Nino Höglund

CPO, Steep

These connections allow you to seamlessly combine data from multiple tables into a single metric, support drill-downs across different tables, and enable dynamic querying—ensuring you only fetch the data you need, saving time and cost.

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Why it's a game-changer:

Dynamic joins: Only necessary tables are queried with the semantic graph, making querying more time and cost-efficient.
Powerful definitions: Define metrics and entities across multiple tables without relying on static joins.
Scalability: Easily edit metrics, entities and the semantic graph as your business and database evolve.

Export entities

How to create a join path

Join paths link tables through a shared data point.

Go to Settings → Semantic Graph
Select a table
Click + next to Join Path
Choose a column to join from
Set the relationship type (one-to-one, one-to-many, or many-to-one)
Select the table and column to join to

This creates a two-way connection. Steep can traverse the semantic graph to find tables two steps away from each other.

Learn more about semantic graph →

Drill-down

Get down to row-level

The semantic graph sets the foundation for creating entities in Steep, enabling you to drill down to row-level behind your metrics. Get seamless insights about your metrics, whether you're analyzing customer behavior, product performance, or order details—even if the data comes from different tables.

Learn more about entities →