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Apache Hadoop · Apache Hadoop → Azure HDInsight · Migration

Proven Hadoop to HDInsight Migration: Fixed Scope, Expert Engineers

Migrating Apache Hadoop to Azure HDInsight is a well-understood project. Our senior engineers handle assessment, data transfer from HDFS to ADLS, cutover, and post-migration support — all with a fixed scope

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Powered by the 3PS Migration Engine

The lowest-cost way off Apache Hadoop: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your Apache Hadoop estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Azure HDInsight, automated where it's safe
Parity validation
Side-by-side testing proves Azure HDInsight matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
40-70% of vendor ren
Savings on Legacy Support
4-8 months
Typical Project Timeline
2-5 senior consultan
Engineers per Migration

How we support Apache Hadoop → Azure HDInsight after migration

  • Fixed-scope migration with senior platform engineers.
  • Retain familiar open-source engines in Azure-managed clusters.
  • Enterprise security from legacy Ranger and AD synchronization.
  • 40-70% savings on legacy support while planning your move.
  • 24/7 US-based support during and after migration.

Legacy Ranger & AD Complexity

Old Ranger policies and unsynchronized Active Directory create access-control nightmares during migration. We map and migrate them automatically so your new HDInsight clusters inherit the correct permissions.

Hardware & Admin Fatigue

Aging on-prem hardware and administrative overhead drain your team. While you plan the Azure move, we keep your legacy Hadoop humming — no forced hardware refreshes.

Old Version Incompatibilities

Outdated Hive and Spark versions block compatibility. Our engineers upgrade and test every job in the new environment to ensure zero regression.

Apache Hadoop → Azure HDInsight migration — your questions answered

What is the typical timeline and cost for an Apache Hadoop to Azure HDInsight migration?+

Our project runs 4-8 months with 2-5 senior consultants. Budgets range from $70,000 to $550,000 depending on data volume, complexity of Ranger/AD configurations, and number of workloads.

Will I have a coverage gap during the migration?+

Your legacy platform stays under vendor support as long as your contract is active. If the renewal lapses, our third-party support covers most operational issues — but it does not include vendor patches. We help you migrate on your timeline, not a forced deadline.

How do you handle legacy Ranger configurations and AD synchronization?+

We assess your current Ranger policies, Active Directory architecture, and Hive/Spark versions. Our engineers reconfigure or migrate these exactly as needed so your new HDInsight environment works identically.

Can you support Azure HDInsight after migration?+

Yes. After cutover we offer Azure HDInsight Platform Managed Services — ongoing operations, monitoring, and support from the same US-based engineers who did your migration.

Hadoop to HDInsight Migration in a Fixed Scope—Proven

Ready to move from legacy Hadoop to Azure HDInsight without risking downtime? Get a fixed-scope plan from engineers who have done it before. Then keep your new environment running smoothly with our Azure HDInsight Platform Managed Services. We handle operations so you can focus on analytics.

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