Trusted, Expert-Led Hadoop to Redshift Migration
Migrate Apache Hadoop to Amazon Redshift by moving your Hive and Impala workloads. We handle data pipeline conversion, UDF rewrite, and HDFS extraction. Your on-prem platform stays stable through the transition.
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 → Amazon Redshift after migration
- ✓Senior platform engineers run your migration.
- ✓Fixed-scope projects, predictable timeline.
- ✓Vendor support active during your move.
- ✓On-prem Hadoop stays stable throughout.
- ✓Post-migration Redshift tuning included.
- ✓40-70% savings on legacy platform support.
Severe Hive/Impala bottlenecks
Your batch queries slow to a crawl. Analysts wait hours for reports. Amazon Redshift delivers sub-second performance without expensive hardware upgrades.
Non-standard Hive SQL and UDF logic
Hive's custom extensions and complex UDFs don't map directly to Redshift. Our engineers rewrite and optimize every script, preserving business logic without rework on your side.
Corporate cloud analytics modernization
Leadership mandates a move to cloud. You need a trusted partner who ensures operational stability during the transition, not a risky big-bang cutover.
Apache Hadoop → Amazon Redshift migration — your questions answered
How long does a Hadoop to Redshift migration take?+
A typical project runs 6-10 months with 3-5 senior engineers. We scope it upfront so you know timeline and cost before starting.
What if my Hive scripts use custom SQL or UDFs?+
Our engineers handle all Hive SQL translations and UDF rewrites. We convert your analytics layer to Redshift-compatible code while preserving results.
Will my on-prem Hadoop stay running during the migration?+
Yes. Your existing platform continues under your vendor support contract. You migrate on your timeline with no forced cutover.
What if my vendor support lapses before migration completes?+
Our third-party support covers most operational issues on the legacy platform. It is not vendor support and does not include vendor patches, but it keeps your environment stable.
Can you handle HDFS data ingestion patterns?+
Yes. We map your unstructured file ingestion flows to Redshift's staging and copy mechanisms, ensuring data lands correctly.
Move from Hadoop to Redshift with Confidence
You get a dedicated team of senior platform engineers. Fixed scope. No forced cutover. And 40-70% savings on legacy support while you plan your move. Start with a no-obligation assessment.