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IBM · IBM Db2 → Snowflake · Migration

Migrate Db2 to Snowflake with a Fixed-Scope, Senior-Led Team

Yes, migrating IBM Db2 to Snowflake is a straightforward project when you have the right approach. We automate ETL pipeline updates and analytics SQL rewrites, while your legacy Db2 remains on vendor support

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Db2 to Snowflake schema migration audit

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The lowest-cost way off IBM Db2: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your IBM Db2 estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Snowflake, automated where it's safe
Parity validation
Side-by-side testing proves Snowflake matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
Fixed-scope projects
Delivered by 2–4 senior platform engineers, typically 4–8
40–70% savings
vs. vendor support renewals on legacy Db2 while you plan
24/7 US-based suppor
For your legacy Db2 and new Snowflake environment.

How we support IBM Db2 → Snowflake after migration

  • Automate ETL rewrite and SQL conversion
  • Keep legacy Db2 on vendor support during transition
  • Consolidate analytics into Snowflake with no interruption
  • Fixed-scope project, 4–8 months, 2–4 senior engineers
  • 40–70% savings on legacy Db2 support while you plan
  • Post-migration: Snowflake Compute Optimization & management

Our Db2 relies on Materialized Query Tables and nested views.

We catalog MQTs and views, then rebuild them as Snowflake materialized views and views, preserving query logic.

We use proprietary Db2 SQL that won't run on Snowflake.

Our automated SQL converter handles Db2-specific constructs (OLAP, recursive, etc.) and rewrites them for Snowflake.

Our ETL tools point directly to Db2 catalogs.

We refactor ETL pipelines to load Snowflake, with no disruption to existing reporting.

IBM Db2 → Snowflake migration — your questions answered

How do you handle Db2 MQTs and reporting views?+

We take a full inventory of your MQTs and nested views, then rebuild them as Snowflake materialized views and standard views. Reporting stays live throughout the transfer.

What about proprietary Db2 SQL?+

We use an automated SQL conversion engine that rewrites Db2-specific analytical constructs (e.g., OLAP, recursive queries) into Snowflake-compatible SQL. Senior engineers review edge cases.

Does our legacy ETL need to be rewritten?+

We update your ETL pipelines to target Snowflake schemas. Existing reports on Db2 remain functional until cutover.

What if my vendor support contract lapses during the migration?+

If your Db2 vendor renewal lapses, our third-party support covers most operational issues on the legacy platform while you complete the move. (Note: does not include vendor patches.)

From Legacy Db2 to Modern Snowflake — One Partner, One Plan

You don't have to juggle two vendors or risk analytics downtime. We manage both legacy maintenance and the Snowflake transition, so your reporting capabilities continue uninterrupted. After migration, we optimize Snowflake compute and manage your cloud warehouse — so you focus on insights, not infrastructure.

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