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Data Platform · Integration

Databricks

Sourcing.sh feeds your Databricks lakehouse with the data index of AI agents. Your agents, notebooks, and models leverage a unified, governed repository.

Study the connection to DatabricksSee Databricks ↗

What Sourcing.sh communicates with Databricks

Send the data

sourcing.sh pushes companies, profiles and fresh offers into your tool.

Refresh the data

Your records are re-crawled and updated continuously — the data no longer dies.

The index is delivered in Delta tables to your lakehouse and refreshed automatically. Your AI agents, ML pipelines and analysts consume fresh data, cataloged and governed via Unity Catalog, without any ingestion effort to be carried on the team side.

This record describes a compatibility to study. Availability, data exchanged, required rights and any costs are confirmed before activation. General API and webhooks require Scale.

Your workflow

The right data. The right action.

New information, a detected change or a record to complete: your agent checks the data and applies the rules you defined.

Create a record, update approved fields or request human approval: you stay in control before data reaches your tool.

Define my workflow

How it works

  1. 01

    Frame the connection to Databricks

    Confirm compatible objects and necessary rights: OAuth, API key or export.

  2. 02

    Define exchanges

    Choose the fields to complete and the update rules in Databricks.

  3. 03

    Plan the checks

    Choose the cadences and actions to trigger when a change is detected.

Discover the API

Your next step

Turn data into action.

Find the right contacts, keep your data up to date and connect your tools.

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