Why choose APGAR for your Databricks project?

At Apgar, we believe that good decisions start with good data. As specialists in data management, governance, and AI, we help enterprises build trusted, modern data platforms that support both business and innovation.

Driving Business Value with Databricks and APGAR.

A unified and simplified data architecture

Together with Databricks, we enable organizations to unify data engineering, analytics, and AI within a single governed environment simplifying architectures, improving scalability, and unlocking value faster.
Our joint goal: help enterprises move to a leaner, more governed, and AI-ready Lakehouse architecture.

Key client challenges we address

  • Simplify complex data landscapes by consolidating transformations, preparation, and governance into one unified platform.
  • Improve data quality and accessibility through Apgar’s expertise in Master Data Management, data modeling, and cleansing.
  • Enable faster insights with trusted, harmonized data ready for analytics and AI.
  • Support every stage of the data lifecycle — from ingestion to decision-making.
  • Bridge governance and innovation by embedding business rules, ethics, and lineage into every layer of the Databricks ecosystem.

A unified partnership for trusted, scalable data platforms.

Our combined value proposition

Apgar brings deep governance, data integration, and MDM expertise, while Databricks provides the scalable foundation for advanced analytics and AI.
This partnership enables enterprises to:

  • Build a single data platform serving engineers, analysts, and data scientists.
  • Leverage governed, quality data for AI and machine learning initiatives.
  • Integrate Databricks with leading governance tools (Reltio, TIBCO EBX, DataGalaxy, Semarchy) to ensure business alignment.
  • Extend capabilities with ApgarIA accelerators for resource optimization, forecasting, and applied AI.
  • Deploy modularly across cloud, hybrid, or on-premise environments.
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"Together, Apgar and Databricks empower enterprises to build pragmatic, governed, and AI-ready data platforms simplifying architecture, enabling innovation, and turning complex data into intelligent action."

Mickael CHEVALIER Chief Technology Officer

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