Apache Hadoop · Apache Hadoop → Databricks · Migration

Proven Engineers for Your Apache Hadoop to Databricks Migration

Yes, migrating Apache Hadoop to Databricks is a well-understood project. We modernize your Spark, MapReduce, and Hive workloads into optimized Delta Lake pipelines with fixed-scope projects and senior platform

Get My Free AssessmentFixed scope. Senior engineers. Third-party support while you migrate.

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 Databricks, automated where it's safe

Parity validation

Side-by-side testing proves Databricks matches production before cutover

Runbook cutover

Rehearsed, reversible, scheduled in your maintenance window

40-70%

Savings on legacy support

6-12 months

Typical migration timeline

4-8

Senior engineers per project

How we support Apache Hadoop → Databricks after migration

✓Fixed-scope projects with senior platform engineers
✓Full third-party support for legacy Hadoop during migration
✓40-70% savings vs Cloudera renewals while you plan
✓24/7 US-based support for post-migration Databricks
✓Modernize to Delta Lake and Unity Catalog

Oozie Workflows

Legacy Oozie orchestrations block migration – we modernize them without breaking pipelines.

Hive UDFs

Hive UDFs written in Java – we refactor into Databricks SQL or Python UDFs.

MapReduce Binaries

MapReduce custom binaries – we port to Spark with zero downtime.

Apache Hadoop → Databricks migration — your questions answered

Will I lose support on my legacy Hadoop during migration?+

Your current Cloudera contract remains active during migration. If the contract lapses, our third-party support covers most operational issues on your Hadoop cluster while you complete the move.

How do you handle Oozie orchestrations?+

We refactor Oozie workflows into Databricks Jobs or managed workflows, preserving dependencies and scheduling logic.

What about MapReduce legacy custom binaries?+

We convert MapReduce custom binaries to Spark or Delta Lake pipelines with identical logic and performance.

What is the typical timeline and budget for a migration?+

For 1PB+ environments, typical projects run 6-12 months with 4-8 senior engineers and budgets from $150,000 to $1,500,000.

Take the Next Step: Free Migration Assessment

Managed Databricks and Unity Catalog Platform Administration keeps your lakehouse running smoothly after migration. Our engineers handle governance, optimization, and 24/7 support so you stay focused on analytics.