Apache Hadoop · Apache Hadoop → Apache Cassandra · Migration

Proven Hadoop to Cassandra Migrations by Senior Engineers

Yes, migrating from Apache Hadoop to Apache Cassandra is a well-understood project. Our senior engineers execute fixed-scope projects to move heavy-write HBase workloads onto Cassandra's peer-to-peer architecture.

Get My Free AssessmentReceive a detailed analysis of your current schema, co-processors, and access patterns—the first step in your migration.

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 Apache Cassandra, automated where it's safe

Parity validation

Side-by-side testing proves Apache Cassandra matches production before cutover

Runbook cutover

Rehearsed, reversible, scheduled in your maintenance window

5–8 months with 3–5

Timeline & Team

$80,000–$600,000 tot

Fixed Budget Range

40–70% vs vendor ren

Legacy Support Savings

How we support Apache Hadoop → Apache Cassandra after migration

✓Avoid forced upgrades on your legacy Hadoop stack during migration.
✓Standardize on reliable, peer-to-peer Apache Cassandra.
✓Eliminate HMaster and ZooKeeper single points of failure.
✓Unlock cross-datacenter, multi-active database replication.
✓Fixed migration scope with predictable timelines and budget.
✓Keep 24/7 US-based support for your legacy Hadoop stack.

Unreliable HBase Stack

HBase HMaster and HDFS failure rates cause unacceptable downtime for your operational workloads.

Costly ZooKeeper Overhead

Managing ZooKeeper in legacy Hadoop stacks adds significant overhead and operational complexity.

Complex Application Dependencies

Deep co-processor integrations and row-scan dependencies make migration seem risky and complex.

Apache Hadoop → Apache Cassandra migration — your questions answered

How do you handle deep HBase co-processor integrations?+

We assess every co-processor in your schema. Our engineers refactor them into Cassandra constructs like triggers or application-side logic.

Can you maintain cross-datacenter replication during the cutover?+

Yes. We stage the migration in phases and use Cassandra's native multi-datacenter replication to maintain writes across both platforms during cutover.

What if my vendor support contract lapses before migration is done?+

If your vendor renewal lapses, our independent third-party support covers most operational issues on your legacy Hadoop platform. It is not vendor support, but it ensures continuity while you finish the move.

How do you handle apps dependent on HBase-specific row scanning?+

We analyze your application access patterns and map HBase row scans to Cassandra's partition and clustering key queries, adjusting the data model to preserve performance.

Post-Migration: Managed Cassandra Operations

Once your migration is complete, keep your new Cassandra environment running at peak performance. Our managed operations and cluster auditing services cover health monitoring, backup management, and ongoing tuning—so your team can focus on applications, not database operations.