Trust our proven process for your Hadoop to ClickHouse migration. Fixed scope
Yes, migrating from Apache Hadoop to ClickHouse is a well-defined project. Here’s how we do it: First, we assess your Hive/Impala workloads and data volumes.
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 → ClickHouse after migration
- ✓Fixed-scope projects delivered by senior platform engineers.
- ✓Keep Apache Hadoop under vendor support during your migration.
- ✓40-70% savings on legacy support while you plan the move.
- ✓24/7 US-based support for both Hadoop and ClickHouse.
- ✓Typical migration: 4-7 months with 2-4 dedicated consultants.
Query timeouts cripple analytics
Your Impala queries time out on customer-facing analytics dashboards, causing failed reports and lost revenue. ClickHouse delivers sub-second responses even on billions of rows.
Skyrocketing on-prem maintenance
On-prem Hadoop server costs are skyrocketing—hardware, cooling, and licensing. Migrating to ClickHouse on commodity cloud instances or your own servers cuts infrastructure spend by 60% or more.
Legacy platform hitting retirement
Your Hadoop platform (Cloudera, HDP) is approaching end-of-life or you simply want modern real-time analytics. Replacing it with ClickHouse gives you a future-proof, high-performance columnar database.
Apache Hadoop → ClickHouse migration — your questions answered
How do you handle multi-table JOIN complexity from Hadoop?+
Complex JOINs are a known challenge. Our senior engineers restructure your Hive or Impala queries specifically for ClickHouse’s strengths, often using materialized views or denormalization. We validate correctness against your existing Hadoop results.
Can you handle heavily nested JSON schemas?+
Yes, deeply nested JSON is common in ad-tech and IoT data. We flatten schemas during the ETL process and use ClickHouse’s JSON functions to maintain query performance without losing the original structure.
What about ACID transaction properties from Hive?+
We recommend maintaining vendor support on your Hadoop cluster until the migration is complete. If a renewal lapses, our third-party support covers most operational issues (except vendor patches) while you finish the move.
How do you ensure no query timeouts after migration?+
We analyze your Impala or Presto query patterns and build a ClickHouse schema that supports sub-second response times. Our proof-of-concept includes a side-by-side performance comparison so you can see the speed improvement before committing.
Hadoop to ClickHouse – Get Your Proof-of-Concept Assessment
Ready to replace Apache Hadoop with ClickHouse without risking your analytics uptime? Our performance and proof-of-concept assessment maps your exact workloads and validates ClickHouse performance. You get a fixed-price migration plan and a support bridge that keeps your legacy cluster operational throughout. Book your assessment today.