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Migration centers — AWS, GCP, Snowflake, Databricks, Teradata, Cloudera, Informatica, Palantir, SAS, Oracle to Azure

Cloudera to Azure Migration Center

Comparative positioning note

This document is written from the perspective of Microsoft Azure, Cloud Scale Analytics, and CSA Loom. Any description of third-party or competing products, services, pricing, or capabilities is derived from publicly available documentation and sources believed accurate at the time of writing, and is provided for general comparison only. We do not claim expertise in, or authority over, any non-Microsoft product or service; the respective vendor's official documentation is the authoritative source for their offerings, which may change over time. Nothing here is intended to disparage any vendor — where a competing product has genuine advantages, we aim to note them honestly. Verify all third-party details against the vendor's current official documentation before making decisions.

The definitive resource for migrating from Cloudera CDH/CDP to Microsoft Azure, Databricks, and CSA-in-a-Box.

Who this is for

This migration center serves CDOs, data platform architects, data engineers, Hadoop administrators, and analytics leaders who are evaluating or executing a migration from Cloudera CDH 6.x, CDP Private Cloud, or CDP Public Cloud to Azure-native services. Whether you are responding to CDH end-of-life, escalating CDP renewal costs, or a strategic pivot toward cloud-native analytics, 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 Cloudera Why Azure over Cloudera
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
Running Impala workloads Impala Migration Guide
Running NiFi data flows NiFi Migration Guide
Using CDP Data Engineering / CML CDP Data Engineering Guide
Want hands-on tutorials Tutorials
Need performance data Benchmarks
Need migration best practices Best Practices

Strategic resources

These documents provide the business case, cost analysis, and strategic framing for decision-makers.

Document Audience Description
Why Azure over Cloudera CIO / CDO / Board Executive brief covering CDH end-of-life urgency, managed-service advantages, talent availability, AI/ML capabilities, and honest assessment of Cloudera strengths
Total Cost of Ownership Analysis CFO / CIO / Procurement Detailed pricing model comparison across CDH on-prem, CDP Private Cloud, and CDP Public Cloud vs Azure consumption model, with 5-year projections
Benchmarks & Performance CTO / Platform Engineering Spark performance, Impala vs Databricks SQL, NiFi vs ADF throughput, cost efficiency, and operational overhead comparisons

Technical references

Document Description
Complete Feature Mapping 40+ Cloudera components mapped to Azure equivalents with migration complexity ratings, from HDFS and Hive through NiFi, Ranger, Atlas, CML, and CDE
Migration Playbook The original end-to-end migration playbook with component mapping, phased plan, HDFS/Hive/Spark/Oozie migration, security conversion, and validation framework

Component migration guides

Domain-specific deep dives covering the components that require specialized migration approaches beyond the core playbook.

Guide Cloudera component Azure destination
Impala Migration Impala, Kudu Databricks SQL, Delta Lake, Fabric SQL endpoint
NiFi Migration Apache NiFi, NiFi Registry Azure Data Factory, Logic Apps, ADF Git integration
CDP Data Engineering CDE, CML, CDP Data Warehouse Databricks, Azure ML, Databricks SQL, Fabric

Tutorials

Hands-on, step-by-step walkthroughs for common migration scenarios.

Tutorial Duration What you will build
NiFi Flow to ADF Pipeline 2-3 hours Convert a NiFi data ingestion flow to an ADF pipeline with equivalent processors, error handling, and scheduling
Impala Workload to Databricks SQL 2-3 hours Migrate an Impala analytical workload to Databricks SQL with SQL conversion, Kudu-to-Delta conversion, and performance validation

Best practices & planning

Document Description
Best Practices Cluster-by-cluster migration strategy, CDP vs CDH differences, service decomposition, parallel-run patterns, decommission timelines, and team structure

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. For Cloudera migrations specifically, it provides:

  • ADLS Gen2 + OneLake replacing HDFS with medallion architecture (bronze/silver/gold)
  • Databricks + dbt replacing Hive, Spark on YARN, and Impala
  • Azure Data Factory replacing Oozie, Sqoop, NiFi, and Flume
  • Event Hubs replacing Kafka with wire-protocol compatibility
  • Purview + Unity Catalog replacing Ranger and Atlas
  • Azure Monitor replacing Cloudera Manager health checks
  • Infrastructure as Code (Bicep across 4 Azure subscriptions)

Migration timeline overview

gantt
    title Typical Cloudera-to-Azure Migration (30 weeks)
    dateFormat  YYYY-MM-DD
    section Phase 1 -- Assessment
    Cluster inventory & profiling      :a1, 2026-05-04, 3w
    Dependency mapping & TCO estimate  :a2, after a1, 2w
    section Phase 2 -- Infrastructure
    Azure landing zone & ADLS Gen2     :a3, after a2, 3w
    Databricks + Unity Catalog deploy  :a4, after a2, 3w
    Purview + Event Hubs + ADF setup   :a5, after a3, 2w
    section Phase 3 -- Data Migration
    HDFS to ADLS (Data Box / WANdisco) :a6, after a4, 4w
    Hive schema + Delta conversion     :a7, after a6, 2w
    section Phase 4 -- Workloads
    Spark jobs to Databricks           :a8, after a7, 4w
    Hive SQL to dbt + Impala migration :a9, after a7, 4w
    Oozie/NiFi to ADF pipelines        :a10, after a7, 4w
    Kafka to Event Hubs                :a11, after a7, 2w
    section Phase 5 -- Validation
    Parallel run (2+ weeks)            :a12, after a8, 3w
    Performance benchmarking           :a13, after a12, 1w
    Cutover & CDH decommission         :a14, after a13, 2w

Cross-references

Topic Document
ADR: Databricks over OSS Spark docs/adr/0002-databricks-over-oss-spark.md
ADR: Delta Lake over Iceberg and Parquet docs/adr/0003-delta-lake-over-iceberg-and-parquet.md
ADR: Event Hubs over Kafka docs/adr/0005-event-hubs-over-kafka.md
ADR: Purview over Atlas docs/adr/0006-purview-over-atlas.md
ADR: ADF + dbt over Airflow docs/adr/0001-adf-dbt-over-airflow.md
AWS to Azure migration docs/migrations/aws-to-azure.md
GCP to Azure migration docs/migrations/gcp-to-azure.md
Hadoop/Hive migration docs/migrations/hadoop-hive.md
OSS migration playbook docs/guides/oss-migration-playbook.md

Last updated: 2026-04-30 Maintainers: CSA-in-a-Box core team