Azure vs AWS for Modern Data Platforms

The selection rarely comes down to capability

Both platforms provide credible object storage, ingestion, processing, orchestration, warehousing and machine learning services. For most enterprise data workloads, either can meet the functional requirements.

The decision is usually driven by existing estate, identity and networking, commercial agreements, and the skills available to operate the platform over the following years.

A practical comparison framework

Score options against factors that will actually differ in your environment.

• Identity and access integration with the existing enterprise directory
• Network topology, private connectivity and data residency constraints
• Existing commitments, discounts and procurement position
• Operating model: who runs the platform, and with which skills
• Portability: use of open table and file formats to limit lock-in
• Total cost under realistic workload profiles, not list-price comparison

Keep the exit open

Whichever platform is selected, keeping data in open formats and orchestration logic outside proprietary services preserves the option to change later at moderate cost. That option has real value in a multi-year architecture.