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Apache Hadoop · Apache Hadoop → Starburst Enterprise · Migration

Proven Apache Hadoop to Starburst Enterprise Migrations

Yes, migrating Apache Hadoop to Starburst Enterprise is a well-understood project. Senior engineers retire slow Hive/Impala executors, keep your existing storage, and deliver a 3–6 month 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 Starburst Enterprise, automated where it's safe
Parity validation
Side-by-side testing proves Starburst Enterprise matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
3–6 Months
Typical Project Duration
2–4 Dedicated
Senior Engineers
40–70%
Legacy Support Savings

How we support Apache Hadoop → Starburst Enterprise after migration

  • Keep your data in HDFS or cloud storage—replace only the query layer.
  • 3–6 month fixed-scope project; no timeline creep or budget surprises.
  • Senior platform engineers handle SerDes, Sentry, Kerberos for you.
  • Query data across on-prem and multi-cloud instantly with Starburst.
  • 40–70% savings on legacy vendor support while you finish migration.
  • 24/7 US-based support before, during, and after the move.

Impala timeouts slowing you down?

Impala query timeouts and scaling failures force teams into costly workarounds—temporary clusters, manual sharding, endless tuning. Starburst's Trino engine eliminates that bottleneck.

Data mesh blocked by legacy architecture?

You need a data mesh architecture that federates queries across on-prem HDFS and multi-cloud object stores. Starburst delivers that. Hadoop on its own cannot.

Worried legacy customisations trap you in Hadoop?

Custom SerDe extensions, Sentry policies, and incompatible Kerberos configs look like vendor lock-in. They are not. Our engineers migrate each legacy control plane into Starburst without rebuilding your data.

Apache Hadoop → Starburst Enterprise migration — your questions answered

What about our custom legacy SerDe extensions?+

Yes. We handle custom Java SerDes by reverse-engineering table schemas and mapping them to Starburst connectors during the assessment phase. No data loss.

How do you handle Cloudera Sentry metadata controls?+

We migrate Sentry policies to Starburst's RBAC. Roles, permissions, and views are recreated in the new environment before cutover.

Will incompatible Kerberos configurations block the migration?+

We normalise Kerberos configs across environments and test authentication end-to-end before any production data moves. No service disruption.

What if our vendor renewal deadline hits mid-migration?+

Your legacy platform stays under vendor support as long as your contract is active. If it lapses, our independent third-party support covers most operational issues while you finish the move. No pressure to pay a full renewal just to buy time.

Start Your Hadoop to Starburst Migration Today

Don't let Impala timeouts or legacy renewal deadlines stall your modernisation. Our Hadoop to Starburst Query Acceleration Assessment delivers a fixed-scope migration plan—cost, timeline, risk register—so you can move with confidence. Once you're live, continue with Starburst Platform Administration and Managed Query Optimization to keep performance high and operational burden low.

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