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Databricks & DataGalaxy

Connect Databricks to DataGalaxy to ensure trust, visibility, and control across your entire data and AI lifecycle without slowing innovation.

What the Databricks connector unlocks

Centralized documentation for Databricks assets

Bring Delta tables, notebooks, and ML models into your DataGalaxy with full metadata context.

Embedded governance in the daily flow

Provide definitions, roles, and trust indicators directly within Databricks environments.

End-to-end lineage

Visualize how data flows and transforms across pipelines, from source to model or dashboard.

Confidence and control at scale

Support scalable AI initiatives with transparency, structure, and alignment to business goals.

Term Customers Customer Active Customer Status Proposed Owner Lea Gomez Stewards Marty Sanchez General Description – Suggested description An Active Customer of a company is someone who regularly purchases a product from that company and is expected to purchase at least once every 21 months. These customers are key contributors to the company’s revenue, so the company strives to retain them by enhancing their experience and offering discounts. Here are the characteristics of an Active Customer: Active payment customer Actual customer activity can be measured Customer whose registration remains active Dismiss Accept suggestion Tags Marketing Salesforce Sensitive data Details Linked objects Implementation Lineage

Add meaning to your notebooks, pipelines, and models

With the Databricks connector, data teams can access definitions, ownership, and governance rules directly from their working environment.


Whether you’re building pipelines, running notebooks, or training models, every asset is enriched with business context ensuring alignment, documentation, and accountability.

Dataset API Library (Customer dat Customer API Dataset Data Products Library Customer 360 [Da Table Grand Parent Power BI Rep Account management Monthly Superstore Sa Table Consuming Manufacturing Marketing App Client Dashboard 360 Client churn pre Process DataSets Client DataS Anonymization DB Enterprise DWH… Sale Client_ID Us.Field Data Science Team ALGO Client Churn Process DataSets Client Data… ActivFlagMod DB Chem Substance repo Substance Nam Table Grand parent Salesforce Customer_data ActiveFlag Cust_BirtDate Cust_ID Cust_Mail Cust_Name Cust_Phone Data quality Warning DB Oracle Transat Table Redshift wareho App Producing Domains Sales Dashb. Solvency II Reporting S.22.01.04 – Impa

Align Databricks assets with business objectives

Connect your Databricks ecosystem to DataGalaxy to document lineage, lifecycle, and ownership across all assets.


This creates a single source of truth, bridging technical artifacts with business understanding.

Connect Databricks to your full data ecosystem.

Explore the Platform
All Business Rules Rule name RuleGr Financial Analytics rules RuleGr Financial Reports Access rules RuleGr reports certification RuleGr Inventory metrics Rules Rule Inventory value rule Rule Financial Currency rule Policies Policy Parent Financial currency Zoho Description In Zoho we are exclusively using Euribor 3-month exchange rate for all currency conversion Policy Parent Financial currency PowerBI Description In PowerBI all Financial metrics displayed are expressed in U.S. Dollars (USD) General Governance type Quality Summary All financial metrics must be in US dollars, using the 3-month Euribor exchange rate. Description This rule ensures consistency in financial reporting by requiring that all financial metrics are expressed in U.S. Dollars (USD). Conversion from other currencies must use the Euribor 3-month exchange rate applicable at the time of calculation or reporting. Details Linked objects Rule Financial Analytics Rules Inventory metrics Rules Financial currency rule Status Validated Owner Lea Gomez Stewards Marty Sanchez, Jane Doe Domain Finance

Scale innovation without losing control

With full visibility into transformations, dependencies, and ownership, data and AI projects move faster—with less risk.
DataGalaxy turns governance into an enabler of agility, not a blocker.

Products Customer Engagement Insights Summary The Customer Engagement Insights data product aggregates data from CRM systems, marketing platforms,… Owner Andrea Belicha AB Domain Customer Care Status Validated Products Investment research Summary The Investment Research is a structure dedicated to the development, management and distribution of data prod… Owner Thierry Demarte Domain Finance Status Validated Products Customer Transactions Summary Customer Transactions brings together all key information on customer transactions: dates, amounts, transaction typ… Owner Raphael Bois Domain Logistics Status Validated Products Customer Feedback Sentiment Analysis Summary To generate data-driven financial predictions, helping stakeholders make informed decisions about budgeting, i… Owner Linda Moreno Domain Finance Status alidated V

Build a governed foundation for your AI strategy

Make Databricks a core part of your data governance fabric

By integrating Databricks with DataGalaxy, you give data engineers, scientists, and business stakeholders a shared, trusted framework to collaborate and deliver value together.

Loved by our clients

5
“ It is a central repository for all our data. In the realm of data quality, DataGalaxy is our strategic partner. It’s like a microscope revealing hidden imperfections. With its intuitive features, we can optimize processes and manage risks proactively. Its seamless collaboration tools ensure that data quality is a collective effort. DataGalaxy isn’t just a tool; it’s the maestro of our data’s symphony. ”
Aurelie D.Data Quality Department Manager
“ The Masterclass broadened my horizons and sparked innovative ideas on adapting and thriving in the evolving data landscape while staying grounded in what truly matters. ”
Tejbir SinghData Governance Enthusiast
“ The focus on critical business drivers including data strategy, stakeholder buy-in, and governance programs was incredibly valuable. This Masterclass is a crucial step in my journey to becoming a data leader. ”
Gopi MarenData Governance & Privacy Strategist
5
“ Ergonomy for the end users and data community. Very easy to install and customize. Very useful for our company to deploy a data culture. DataGalaxy is very competitive regarding the price. ”
Louis-Alban R.Data Governance Leader
“ Success in data requires not just technical skills but also communication, empathy, and alignment – All insights emphasized brilliantly in this Masterclass. ”
Dr. Ana MoyaBI & Data Science Honorary Professor

FAQ

What is Databricks?

Databricks is a cloud-native platform built for data engineering, machine learning, and analytics. It unifies data science and data engineering workflows on top of Apache Spark. Connecting Databricks to DataGalaxy brings governance, lineage, and semantic context to pipelines, notebooks, and AI models—all within a shared framework.

DataGalaxy supports the integration of key Databricks assets including Delta tables, notebooks, and machine learning models. Each asset is enriched with full metadata context, making it easy to document, govern, and align your technical workflows with business objectives.

Yes. The integration allows you to embed governance elements like definitions, roles, and trust indicators directly into the Databricks interface. This ensures that data practitioners have access to critical context while working in notebooks, pipelines, or ML environments—without leaving their workspace.

Absolutely. DataGalaxy automatically maps and visualizes the flow of data across your Databricks pipelines, from raw ingestion to transformed datasets and downstream models or dashboards. This end-to-end lineage helps identify dependencies, track changes, and enhance accountability across your data lifecycle.

Instead of slowing down innovation, DataGalaxy embeds governance natively into Databricks workflows—ensuring transparency, lifecycle documentation, and cross-team collaboration. This transforms governance from a bottleneck into a catalyst for trusted, agile data and AI delivery.

With DataGalaxy, teams can catalog and govern assets from Databricks — including tables, notebooks, Delta Lake metadata, and more. This ensures data used for analytics or AI workloads is trusted, discoverable, and documented across your stack.

👉 See how DataGalaxy integrates with Databricks

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