Proven Hadoop to AWS Glue migration—fixed scope, senior engineers
Migrate Apache Hadoop data pipelines to serverless AWS Glue. We handle legacy code, locks, and version issues—while your vendor support stays active.
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 → AWS Glue after migration
- ✓Fixed-scope project—no surprise costs.
- ✓Senior engineers, 15+ years each.
- ✓Vendor support stays active during move.
- ✓Modernize to serverless AWS Glue pipelines.
- ✓Post-migration managed support available.
Legacy Bash wrappers
Your team spends weekends patching Bash wrappers around legacy MapReduce jobs.
File-system lock complexity
Complex on-prem file-system lock mechanics block even simple pipeline changes.
Version incompatibilities
Old Scala and Python versions fail with new libraries—rework everything.
Apache Hadoop → AWS Glue migration — your questions answered
Will we lose vendor support during the migration?+
Yes. Vendor support continues as long as your contract is active. If it lapses, our third-party support handles most operational issues. No forced cutover.
What about old MapReduce wrappers and Python versions?+
We handle legacy Bash wrappers on MapReduce, complex file-system locks, and old Scala/Python versions. Our engineers refactor them for AWS Glue.
How long does a typical migration take?+
4–8 months with 2–5 senior engineers. Fixed scope means budget is locked at $85k–$800k based on complexity.
Is this move triggered by licensing costs?+
Yes. Many clients start after an expensive Hadoop licensing audit. AWS Glue eliminates cluster maintenance and scaling overhead.
Ready to move? Start with a Hadoop to AWS Glue Assessment
After migration, keep pipelines optimized with our Managed Serverless Data Pipeline service. We fine-tune Glue jobs for cost and performance.