Your Hadoop to Dataproc Migration: Trusted, Fixed-Scope, Senior-Led
We lift and shift your Hadoop, Spark, and Hive workloads to Google Cloud Dataproc with serverless scaling and lower TCO – no refactoring required.
The lowest-cost way off Apache Hadoop: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support Apache Hadoop → Google Cloud Dataproc after migration
- ✓Fixed-scope migration projects with senior platform engineers.
- ✓Legacy Hadoop stays under vendor support while you plan the move.
- ✓40–70% savings vs vendor support renewals on your existing platform.
- ✓24/7 US-based support after migration to Dataproc.
- ✓No forced big-bang cutover – migrate on your timeline.
Escalating Infrastructure Costs
High cost of maintaining on-prem Cloudera or Hortonworks clusters.
LDAP Lock-In
Strict on-prem LDAP dependencies that seem impossible to replicate in the Cloud.
Uncertain Compatibility
Complex legacy custom JAR dependencies that may break after migration.
Apache Hadoop → Google Cloud Dataproc migration — your questions answered
What happens to support for my on-premise Hadoop during migration?+
Yes. For the life of your vendor contract, your legacy Cloudera/Hortonworks platform remains under vendor support. If the contract lapses, our third-party support covers most operational issues while you complete the move (it is not vendor support and does not include vendor patches).
We rely on on-prem LDAP. How does that work in the Cloud?+
We handle it in the migration plan. Our engineers refactor your code to use GCS connectors or bridge through a lightweight LDAP proxy without rewriting core jobs.
My code has HDFS file-system assumptions. Will that break?+
We can treat the HDFS data path as a temporary staging layer or directly stream to GCS. The migration includes rewriting hard-coded HDFS paths in your Spark, Hive, and custom code.
We have many custom JARs. Will they work on Dataproc?+
We catalog every JAR dependency before the move. Senior engineers recompile or replace incompatible libraries as part of the fixed-scope project.