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IBM · IBM watsonx.data → Amazon Redshift · Migration

Proven IBM watsonx.data to Amazon Redshift migration – senior engineers, fixed scope

Migrate your analytical workloads from IBM watsonx.data to Amazon Redshift using Redshift Spectrum and native Iceberg support. Our senior engineers handle the full migration with a fixed-scope project

Get My Free AssessmentNo obligation—just a clear path to migration.

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No obligation—just a clear path to migration.

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Powered by the 3PS Migration Engine

The lowest-cost way off IBM watsonx.data: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your IBM watsonx.data estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Amazon Redshift, automated where it's safe
Parity validation
Side-by-side testing proves Amazon Redshift matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
3–6 months with 2–4
Timeline
Typical project: $11
Budget
40–70% on legacy pla
Savings

How we support IBM watsonx.data → Amazon Redshift after migration

  • Senior platform engineers manage end-to-end migration
  • Fixed-scope project – no surprise costs
  • Dual-environment replication for cutover confidence
  • Leverage Redshift Spectrum with Iceberg tables
  • Post-migration support 24/7 from US-based engineers

Rising Presto compute costs

Large-scale Presto query engines on watsonx.data drive up infrastructure costs as data volumes grow.

Slow concurrent queries

Concurrent query execution slows down inside watsonx.data, impacting analytics performance for multiple teams.

Proprietary metadata lock-in

Proprietary metadatabase storage in watsonx.data makes it difficult to lift and shift schemas to a standard data warehouse.

IBM watsonx.data → Amazon Redshift migration — your questions answered

How do you ensure query accuracy during the migration?+

We create a dual-environment replication pipe so you can run your queries on both platforms simultaneously. Once Amazon Redshift returns matching results consistently, we perform a safe cutover with no downtime surprises.

What about complex Presto UDFs and lateral joins that are not compatible with Redshift SQL?+

We assess your Presto UDFs and lateral joins upfront. Many can be re-written as Redshift SQL functions or workarounds. If a custom UDF is critical, we replicate it using Redshift’s native capabilities or external tables.

How do you handle watsonx.data’s proprietary metadatabase storage?+

We manage the watsonx.data proprietary metadatabase by extracting the schema and table definitions into AWS Glue Catalog. This keeps your Iceberg table structure intact and makes it directly accessible via Redshift Spectrum.

What is our support coverage during and after the migration?+

Your existing vendor contract remains active, so you continue to receive full vendor support on watsonx.data during the migration. If the contract lapses before cutover, our third-party support covers most operational issues (excluding vendor patches).

Request your free watsonx.data to Redshift TCO evaluation

After migration, we optimize your Redshift cluster with distribution keys, concurrency scaling, and continuous managed services. Get a free TCO evaluation to see your savings and timeline.

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