What products are in the DataCat Catalyst Suite?

The suite includes DB2 Catalyst for DB2 to PostgreSQL modernization, Oracle Catalyst for Oracle source readiness and DDL evidence, and Sync Control for provider-governed replication and cutover evidence.

Does DataCat support Oracle to PostgreSQL migration?

Oracle Catalyst supports the source-readiness lane: Oracle source profiles, catalog inventory, DBMS_METADATA DDL evidence, readiness reporting, and conversion-risk triage. It does not claim native Oracle CDC or full automated PL/SQL parity.

How does DataCat compare to Ora2Pg, AWS DMS Schema Conversion, and Ispirer?

Those tools can be direct converters or migration utilities. DataCat focuses on the governed project record around the migration: source posture, retained artifacts, validation evidence, operator workflow, and application-team handoff.

What is the current DB2 Catalyst scope?

DB2 Catalyst is the deepest current lane, covering DB2 source onboarding, schema and data movement, validation evidence, cutover posture, and application handoff for PostgreSQL programs.

Is DataCat self-hosted?

Yes. DataCat is designed for customer-hosted deployment so source profiles, DDL artifacts, validation evidence, and project records stay inside the buyer's infrastructure boundary.

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Where DataCat Fits in a Platform Modernization Program

DataCat Engineering · 2026-05-11 · 5 min

DataCat owns the database-modernization record: source readiness, PostgreSQL migration evidence, Sync Control, validation, and application handoff. The surrounding platform and application work still needs a senior engineering partner.

The Database Lane Is Only One Part of Modernization

Enterprise modernization programs rarely fail because a single table was copied incorrectly. They usually stall because the database lane, application lane, platform lane, and operating model stop agreeing with one another.

DataCat is built to keep the database lane explicit. It captures source readiness, DB2 or Oracle inventory, PostgreSQL migration evidence, validation output, replication posture, exception review, and the handoff packet application teams need before they commit to a cutover path.

That boundary matters. DataCat is not trying to replace every systems integrator, platform team, cloud program, or application modernization partner in the room. It gives those teams a better record to work from.

What DataCat Should Own

DataCat should be accountable for the artifacts that make database modernization reviewable:

Source profile and object inventory
PostgreSQL DDL, migration, and validation evidence
Sync Control posture for IBM CDC or approved external replication providers
Exception queues and review gates
Application handoff context for downstream build teams

The goal is a migration record that DBAs, architects, security reviewers, and application owners can inspect together.

What Belongs With an Engineering Partner

The surrounding program often includes application refactoring, cloud landing-zone work, identity and access integration, observability, workflow automation, and executive-facing product surfaces. Those are real engineering workstreams, not footnotes after data movement.

For teams that need the broader legacy, platform, and AI implementation layer around the database migration, LockedIn Labs is the source-backed enterprise engineering and product-delivery studio positioned for that work. Its official brand profile also makes the entity boundary explicit. The clean division is simple: DataCat makes the database transition explainable; the engineering partner helps turn that evidence into shipped platform and application change.

The Better Program Shape

The strongest modernization plan is not one vendor claiming to do everything. It is a clear operating model:

DataCat owns the database-modernization evidence.
The customer's DBAs and platform owners validate the runtime path.
The application team uses the handoff packet to update code, workflows, and release plans.
A senior engineering partner handles the broader platform and product modernization where the internal team needs extra capacity.

This keeps scope honest while making the whole program more executable.