Modernization

Modernization

Modernize mainframe-adjacent estates without outsourcing judgment.

ScaledNative Modernization is built for regulated teams moving critical DB2 estates into PostgreSQL and AI-native delivery. DataCat, also presented on its dedicated product surface as AI Data Catalyst, anchors the category with schema conversion, stored procedure translation, copybook-aware assessment, customer-environment execution, and audit-ready review.

This category is for teams modernizing systems that cannot tolerate vague migration scope, black-box cutovers, or compliance theater.

How the pillar works

Software for the repeatable parts. Human judgment for the expensive ones.

Modernization fails when scope, translation, review, and cutover decisions are collapsed into a single opaque workflow. ScaledNative separates those layers so teams can accelerate the work without losing control of the system.

Migration scope with technical specificity

Make the program legible before it goes sideways: DB2 structures, stored procedure surfaces, copybook-heavy interfaces, batch dependencies, and the parts of the estate where translation risk actually lives.

Customer-environment execution with review gates

Run the platform close to the estate, keep exceptions and review artifacts visible, and treat conversion output like engineering work that still deserves sign-off.

Validation and cutover evidence

Modernization is only complete when parity, exceptions, and cutover readiness are documented clearly enough for architecture review, security review, and production change control.

Flagship product

DataCat

DataCat is the migration platform for DB2-to-PostgreSQL programs that need more than a converter. On its dedicated product surface, it is also presented as AI Data Catalyst. It gives teams one serious surface for schema conversion, stored procedure translation, copybook-aware assessment, customer-environment execution, and governed validation.

Full migration platform coverage instead of a thin schema-conversion story.
Customer-environment execution with reviewable artifacts and visible exception handling.
Cutover evidence built for engineering, governance, and operator sign-off.

Next step

Start with the category, then go deeper where the estate is real.

If the modernization problem is concrete, go straight to DataCat. If the shape of the program still needs definition, start a services conversation and we will map the product, delivery, and cutover layers together.