Copyright 2025 Principled Technologies, Inc. Based on “Unlock faster insights with Azure Databricks,” a Principled
Technologies report, August 2025. Principled Technologies®
is a registered trademark of Principled Technologies, Inc.
All other product names are the trademarks of their respective owners.
Principled
Technologies®
Unlock faster data-driven
business decisions with
Azure Databricks
Simple manageability
Native integration
out of the box
Azure Databricks, available in the Microsoft
Azure portal, integrates with multiple key
Azure services—without additional setup.
Centralized
control
One platform, one support path, one invoice—a
unified experience from infrastructure to insight.
A single console streamlines deployment
and helps reduce the time to first job.
Running decision support system workloads, Azure Databricks
delivered faster results compared to Databricks on AWS
Complete query streams
in 21.1% less time
Power | Time (mm:ss) | Less is better
AutoScale: Enabled
44:21
51:13
AutoScale: Disabled
32:52 v
41:40
Azure Databricks cluster
Databricks cluster on AWS
Save 9+ minutes running
concurrent query streams
Throughput | Time (h:mm:ss) | Less is better
AutoScale: Enabled
1:38:04
1:45:49
AutoScale: Disabled
1:28:41
1:37:55
Azure Databricks cluster
Databricks cluster on AWS
Co-engineered
operations
Microsoft
advantage
Enhance BI, ML, and AI workloads
in Azure Databricks with Microsoft
services, such as Power BI, Azure
AI Foundry, Microsoft Purview,
Copilot Studio, Power
Platform, and more.
Designed
for speed
Azure Databricks natively uses
Azure Data Lake Storage (ADLS) for
its Lakehouse architecture, enabling
direct access for data ingestion,
analytics, and AI workloads,
which minimizes latency and
data movement.
Learn more
Co-developed by
Microsoft and Databricks,
Azure Databricks is a first-party
service offered by Microsoft that
can reduce friction across each
stage of data and AI projects
and enable faster time to value.
Build pipelines, train
models, and deliver
insights using AI
instead of stitching tools
together or battling
infrastructure bottlenecks.

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Unlock faster data-driven business decisions with Azure Databricks - Infographic

  • 1. Copyright 2025 Principled Technologies, Inc. Based on “Unlock faster insights with Azure Databricks,” a Principled Technologies report, August 2025. Principled Technologies® is a registered trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners. Principled Technologies® Unlock faster data-driven business decisions with Azure Databricks Simple manageability Native integration out of the box Azure Databricks, available in the Microsoft Azure portal, integrates with multiple key Azure services—without additional setup. Centralized control One platform, one support path, one invoice—a unified experience from infrastructure to insight. A single console streamlines deployment and helps reduce the time to first job. Running decision support system workloads, Azure Databricks delivered faster results compared to Databricks on AWS Complete query streams in 21.1% less time Power | Time (mm:ss) | Less is better AutoScale: Enabled 44:21 51:13 AutoScale: Disabled 32:52 v 41:40 Azure Databricks cluster Databricks cluster on AWS Save 9+ minutes running concurrent query streams Throughput | Time (h:mm:ss) | Less is better AutoScale: Enabled 1:38:04 1:45:49 AutoScale: Disabled 1:28:41 1:37:55 Azure Databricks cluster Databricks cluster on AWS Co-engineered operations Microsoft advantage Enhance BI, ML, and AI workloads in Azure Databricks with Microsoft services, such as Power BI, Azure AI Foundry, Microsoft Purview, Copilot Studio, Power Platform, and more. Designed for speed Azure Databricks natively uses Azure Data Lake Storage (ADLS) for its Lakehouse architecture, enabling direct access for data ingestion, analytics, and AI workloads, which minimizes latency and data movement. Learn more Co-developed by Microsoft and Databricks, Azure Databricks is a first-party service offered by Microsoft that can reduce friction across each stage of data and AI projects and enable faster time to value. Build pipelines, train models, and deliver insights using AI instead of stitching tools together or battling infrastructure bottlenecks.