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Apache Hadoop · Apache Hadoop → Amazon EMR · Migration

Proven Hadoop to EMR Migration for Enterprise Workloads

Migrate Apache Hadoop to Amazon EMR by lifting and shifting your existing Spark/Hive configurations, then moving HDFS to Amazon S3 via EMRFS.

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Fixed-price assessment. No obligation.

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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 Amazon EMR, automated where it's safe
Parity validation
Side-by-side testing proves Amazon EMR matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
3–6 months with 2–4
Typical Project Timeline
$75,000 – $600,000 f
Budget Range
40–70% vs vendor ren
Support Savings

How we support Apache Hadoop → Amazon EMR after migration

  • 6+ years migrating enterprise Hadoop clusters
  • Senior engineers execute fixed-scope plans
  • Legacy support stays active during transition
  • Lift-and-shift configs, no Spark/Hive rewrites
  • Transition HDFS to Amazon S3 via EMRFS
  • 24/7 US-based support, 40-70% savings

HDFS Path Lock-In

Hardcoded HDFS paths in legacy code require careful mapping to avoid broken pipelines.

Compatibility Gaps

Legacy Hive Metastore versions or custom Ranger policies can block a clean lift-and-shift.

Custom Scheduler Migration

Highly custom YARN scheduling policies risk performance loss if not replicated exactly.

Apache Hadoop → Amazon EMR migration — your questions answered

How do you handle hardcoded HDFS file paths in legacy code?+

We map all hardcoded paths to EMRFS patterns during the assessment phase, using configuration files and symbolic links to avoid code changes. The migration blueprint covers every path.

What about legacy Hive Metastore versions?+

We upgrade or wrap your existing Hive Metastore to a version compatible with EMR. The move to EMR’s managed metastore is done incrementally so your query history and schemas remain intact.

Can you preserve our custom YARN scheduling policies?+

Yes, we replicate your custom YARN scheduling policies (capacity, fair, or custom) onto EMR’s resource manager. We also adjust for EMR’s auto-scaling if desired.

Will my current Hadoop vendor support continue during the migration?+

Yes, Apache Hadoop vendor support continues as long as your contract is active. If the renewal lapses, we provide third-party support for most operational issues during the move.

Ready to Migrate? Start a No-Risk Assessment.

Complete your migration and then optimize ongoing performance with our **AWS EMR Cluster Optimization and Managed Services**. Keep costs low and reliability high.

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