AWS to Azure Migration Center¶
The definitive resource for migrating from AWS analytics services to Microsoft Azure, Microsoft Fabric, and CSA-in-a-Box.
Who this is for¶
This migration center serves federal CIOs, CDOs, Chief Data Architects, platform engineers, data engineers, and analysts who are evaluating or executing a migration from AWS analytics services (Redshift, EMR, Glue, Athena, S3, Kinesis, MSK, QuickSight, SageMaker) to Azure-native services. Whether you are responding to an Azure-first mandate, consolidating onto a single hyperscaler, addressing IL5 coverage gaps in AWS GovCloud, or simplifying a five-service analytics estate into a unified platform, these resources provide the evidence, patterns, and step-by-step guidance to execute confidently.
Quick-start decision matrix¶
| Your situation | Start here |
|---|---|
| Executive evaluating Azure vs AWS for analytics | Why Azure over AWS |
| Need cost justification for migration | Total Cost of Ownership Analysis |
| Need a feature-by-feature comparison | Complete Feature Mapping |
| Ready to plan a migration | Migration Playbook |
| Federal/government-specific requirements | Federal Migration Guide |
| Migrating S3 data to Azure | Storage Migration |
| Migrating Redshift/EMR/Athena | Compute Migration |
| Migrating Glue ETL pipelines | ETL Migration |
| Migrating QuickSight dashboards | Analytics Migration |
| Migrating Kinesis/MSK streaming | Streaming Migration |
| Migrating SageMaker/Bedrock AI workloads | AI/ML Migration |
| Migrating IAM/Lake Formation security | Security Migration |
Strategic resources¶
These documents provide the business case, cost analysis, and strategic framing for decision-makers.
| Document | Audience | Description |
|---|---|---|
| Why Azure over AWS | CIO / CDO / Board | Executive white paper covering strategic advantages, ecosystem synergies, talent comparison, innovation velocity, and an honest assessment of AWS strengths |
| Total Cost of Ownership Analysis | CFO / CIO / Procurement | Detailed pricing model comparison across three federal tenant sizes, 5-year TCO projections, hidden cost analysis, and cost optimization strategies |
| Complete Feature Mapping | CTO / Platform Architecture | 60+ AWS analytics features mapped to Azure equivalents with migration complexity ratings and gap analysis |
Migration guides¶
Domain-specific deep dives covering every aspect of an AWS-to-Azure analytics migration.
| Guide | AWS capability | Azure destination |
|---|---|---|
| Storage Migration | S3 buckets, lifecycle policies, versioning, access points | ADLS Gen2, OneLake, OneLake S3 shortcuts |
| Compute Migration | Redshift, EMR, Athena | Databricks SQL, Databricks Jobs, Fabric SQL endpoint |
| ETL Migration | Glue Jobs, Crawlers, Data Catalog, Step Functions | ADF, dbt, Purview, Unity Catalog |
| Analytics Migration | QuickSight dashboards, SPICE, Q | Power BI, Direct Lake, Copilot |
| Streaming Migration | Kinesis Data Streams, Firehose, Analytics, MSK | Event Hubs, Stream Analytics, Fabric RTI |
| AI/ML Migration | SageMaker, Bedrock, Bedrock Agents | Azure ML, Azure OpenAI, AI Foundry, Copilot Studio |
| Security Migration | IAM, Lake Formation, KMS, GuardDuty, CloudTrail | Entra ID, Purview, Key Vault, Defender, Azure Monitor |
Technical references¶
| Document | Description |
|---|---|
| Complete Feature Mapping | Every AWS analytics feature mapped to its Azure equivalent with migration complexity ratings and CSA-in-a-Box evidence paths |
| Migration Playbook | The end-to-end migration playbook with capability mapping, worked examples, phased project plan, and competitive framing |
Government and federal¶
| Document | Description |
|---|---|
| Federal Migration Guide | AWS GovCloud vs Azure Government comparison, FedRAMP High analysis, IL4/IL5/IL6 coverage, CMMC mapping, ITAR, procurement guidance, and agency-specific patterns |
How CSA-in-a-Box fits¶
CSA-in-a-Box is the core migration destination --- an Azure-native reference implementation providing Data Mesh, Data Fabric, and Data Lakehouse capabilities. It compresses the five-service AWS analytics estate (Redshift + EMR + Glue + Athena + S3) into a coherent Delta Lake + Databricks + Purview + OneLake stack, and deploys a complete data platform with:
- Infrastructure as Code (Bicep across 4 Azure subscriptions)
- Data governance (Purview automation, Unity Catalog, classification taxonomies, data contracts)
- Data engineering (ADF pipelines, dbt models, Databricks/Fabric notebooks)
- Analytics (Power BI semantic models, Direct Lake, Copilot integration)
- AI integration (Azure OpenAI, AI Foundry, RAG patterns)
- Compliance (FedRAMP, CMMC, HIPAA machine-readable control mappings)
- Migration bridge (OneLake S3 shortcuts for zero-copy cross-cloud reads during transition)
For capabilities beyond CSA-in-a-Box's current scope (e.g., Copilot Studio agents, Power Apps operational apps, Microsoft Fabric Real-Time Intelligence), this migration center provides direct guidance using the broader Azure and Microsoft ecosystem.
Migration timeline overview¶
gantt
title Typical AWS Analytics to Azure Migration (40 weeks)
dateFormat YYYY-MM-DD
section Discovery
Inventory AWS estate & wave plan :a1, 2026-01-05, 3w
section Landing Zones
Deploy CSA-in-a-Box DMLZ/DLZ + bridge :a2, after a1, 5w
section Pilot Domain
Athena/Glue pilot to Databricks :a3, after a2, 8w
section Redshift
Redshift migration + SP porting :a4, after a2, 10w
section EMR + Streaming
EMR jobs + Kinesis/MSK :a5, after a3, 10w
section S3 Cutover
S3 bucket disposition + final copy :a6, after a4, 12w
section Decommission
Read-only + cost baseline + runbooks :a7, after a6, 4wLast updated: 2026-04-30 Maintainers: CSA-in-a-Box core team Related: Migration Playbook | Palantir Migration Center | GCP Migration | Snowflake Migration