Azure Databricks Enterprise Data Platform

Azure Databricks Enterprise Data Platform (2026)

Microsoft Azure Databricks is the lakehouse platform built on Apache Spark, Delta Lake, and MLflow — strong for Spark ML, large-scale data engineering, and ML model training/serving. For Microsoft 365-anchored Fortune 500 enterprises, the strategic question is whether Microsoft Azure Databricks complements Microsoft Fabric or replaces it for specific workloads.

EPC Group has delivered Azure Databricks engagements for Fortune 500 healthcare, financial services, government, manufacturing, and technology since 2019.

TL;DR — When Azure Databricks Wins

Use Case	Why Databricks
Spark ML at very large scale (>1B rows training)	Best-in-class Spark performance
LLM training / fine-tuning	Mosaic AI training infrastructure
Heavy data engineering team (>20 engineers)	Mature Spark notebook environment
Genomics, IoT, scientific computing	Spark workload optimization
Open Delta Lake preference (vendor independence)	Native Delta Lake creator
Existing Databricks footprint	Don't migrate, integrate

Microsoft Azure Databricks vs Microsoft Fabric

For Microsoft 365-anchored enterprises:

Dimension	Microsoft Fabric	Azure Databricks
Microsoft 365 integration	Native	Connector
Microsoft Power BI integration	DirectLake mode	DirectQuery / Import
Microsoft Copilot integration	Native (Power BI Copilot)	AI/BI (limited)
Microsoft Purview governance	Native	Connector via Unity Catalog
Spark performance	Good	Best-in-class
ML / MLOps	Adequate (Microsoft Fabric Data Science)	Best-in-class (MLflow native)
LLM training	Limited	Strong (Mosaic AI)
3-year TCO (5K-user enterprise, 50TB)	$2.38M	$3.29M (+38%)

For most Microsoft 365-anchored Fortune 500 enterprises, Microsoft Fabric is the right system of record. Azure Databricks adds value for specific Spark ML or LLM training workloads.

Common Coexistence Pattern

EPC Group standard pattern for Microsoft Fabric + Azure Databricks coexistence:

• Microsoft Fabric — system of record for BI, semantic models, executive dashboards, Microsoft Power BI Copilot
• Azure Databricks — Spark ML training, large-scale data engineering, LLM fine-tuning
• Integration — Databricks writes to OneLake via Delta Lake; Microsoft Fabric reads via Shortcuts

Azure Databricks Enterprise Architecture

Workspace Topology

• Workspace per business domain
• Microsoft Entra ID-authenticated access
• Azure Private Link for network isolation
• Customer-Managed Keys (CMK) via Azure Key Vault

Compute Strategy

• Databricks SQL warehouses (BI workloads)
• Job clusters (batch ML training)
• All-purpose clusters (interactive notebook development)
• Photon engine for SQL performance
• GPU-enabled clusters (NVIDIA A100, H100) for LLM training

Unity Catalog

• Centralized governance across workspaces
• Microsoft Entra group integration
• Data lineage
• Microsoft Purview connector for unified governance plane

Delta Lake

• Open table format
• ACID transactions
• Time travel
• Schema evolution
• OneLake compatibility (Microsoft Fabric reads Delta Lake natively)

Azure Databricks Use Cases

Healthcare

• Clinical data lakehouse (Epic Clarity / Cerner Cogito + claims + lab + ADT)
• Population health risk stratification (Spark ML)
• Genomics analytics (large-scale Spark)
• Real-world evidence research (regulated environment)

Financial Services

• Trade analytics (large-scale Spark)
• Risk modeling (VaR, stress testing)
• Fraud detection ML
• Regulatory reporting

Government / Federal

• Mission analytics (Azure Government Databricks)
• Large-scale data engineering for federal data
• AI/ML for federal civilian / DoD missions

Manufacturing

• IoT sensor data lakehouse
• Predictive maintenance ML
• Quality control analytics
• Supply chain optimization

Microsoft Azure Compliance

Microsoft Azure Databricks compliance posture:

• HIPAA-eligible (with BAA)
• Holds FedRAMP authorization in Azure Government
• SOC 2 Type II
• PCI DSS
• ISO 27001 / 27017 / 27018
• EU Data Boundary

Pricing

Microsoft Azure Databricks pricing (2026):

Component	Pricing
Standard tier	$0.40-$0.55 per DBU (Databricks Unit)
Premium tier	$0.65-$0.95 per DBU
Enterprise tier	$0.95-$1.55 per DBU
Photon engine	2.5x DBU multiplier
Mosaic AI training	Custom enterprise contract

Mid-market enterprise typical Microsoft Azure Databricks spend: $50K-$300K/year. Fortune 500 with heavy Spark ML: $500K-$5M/year.

Microsoft Fabric + Azure Databricks Migration

When to Stay on Databricks

• Heavy ML team with Databricks investment
• Large-scale Spark ML in production
• Mosaic AI LLM training in active use
• Multi-cloud strategy requires Databricks portability

When to Add Microsoft Fabric

• Microsoft 365 Copilot adoption is strategic
• Microsoft Power BI is the primary executive BI tool
• Microsoft Purview is the governance plane
• Microsoft 365-anchored compliance posture

When to Migrate Databricks → Microsoft Fabric

• Microsoft 365 footprint is dominant
• Microsoft Power BI usage is heavy
• Cost reduction is strategic priority
• Workloads are SQL-anchored more than Spark-ML-anchored

EPC Group's Databricks-to-Microsoft Fabric migration: $400K-$2M (4-12 months).

Frequently Asked Questions

Should we replace Databricks with Microsoft Fabric?

Most enterprises don't replace — they coexist. Microsoft Fabric for BI + semantic models + Microsoft Copilot. Databricks for Spark ML + LLM training. Migration is justified only when ML workloads are largely BI consumption AND Microsoft Copilot is strategic.

How does Microsoft Fabric handle Databricks Delta Lake?

Microsoft Fabric reads Delta Lake natively (OneLake supports Delta format). Databricks-managed Delta tables can be exposed to Microsoft Fabric via Shortcuts without data duplication.

What about Mosaic AI for LLM training?

Mosaic AI (within Databricks) is best-in-class for foundation model training and fine-tuning. Microsoft Foundry handles inference and Microsoft-stack-aligned fine-tuning. Many enterprises use both.

What about regulated industries?

Healthcare (HIPAA), financial services (FINRA, SEC), government (FedRAMP), and pharma (GxP) deploy Microsoft Azure Databricks with industry-specific compliance posture. Microsoft Azure Government for federal customers.

Who delivers EPC Group Azure Databricks engagements?

EPC Group senior data engineers with combined Microsoft Azure, Microsoft Fabric, and Databricks experience since 2019. Errin O'Connor is a 4-time Microsoft Press author.

Next Steps

Schedule a 30-minute Microsoft Azure Databricks discovery call at /schedule or call (888) 381-9725. Senior architects (not sales) take discovery calls.

Related reading: Microsoft Fabric vs Databricks, Microsoft Fabric vs Snowflake vs Databricks Enterprise Comparison, Microsoft Fabric Quickstart Assessment, Azure Analytics Platform Architecture Guide, and Best Azure Cloud Migration Consulting.