A migration platform, not just a translation step
DataCat covers schema conversion, stored procedure translation, copybook-aware assessment, and validation so teams are not forced to stitch the migration record together across disconnected tools.
DataCat
A DB2-to-PostgreSQL migration platform for teams that still need to trust the cutover.
DataCat is ScaledNative's flagship modernization product. On its dedicated product surface it is also presented as AI Data Catalyst: a migration platform for DB2 estates that brings schema conversion, stored procedure translation, copybook-aware assessment, customer-environment deployment, and governed validation into one serious program surface.
Use DataCat when the migration is real, the estate is governed, and the organization needs more than a thin translation demo. The dedicated product site may also refer to the platform as AI Data Catalyst.
Technical specificity where enterprise trust is won
The product is shaped around the realities that make DB2 programs hard to move: database structures, procedural logic, encoding edge cases, batch-adjacent surfaces, and interfaces that still need human review.
Customer-environment execution with governed evidence
Run close to the estate, keep exception handling and review queues visible, and produce artifacts that help engineering, security, and program leads judge cutover readiness.
Migration scope
Bring the technical surface and the review surface into the same program.
DataCat is positioned for enterprises that want modernization software with real technical depth, but still need scope, exceptions, and sign-off to stay legible to the people carrying the cutover risk.
Schema conversion
Translate DB2 structures into PostgreSQL targets while keeping review points visible to the engineers and architects who still own the target system after migration.
Stored procedure translation
Convert procedural logic into reviewable outputs with explicit variance handling rather than forcing teams to infer what changed from a black-box result.
Copybook and interface assessment
Capture copybook-heavy and batch-adjacent surfaces early enough that the migration boundary is real before execution starts, instead of discovering them after translation is underway.
Validation and cutover evidence
Keep reconciliation, exceptions, and evidence packages attached to the same workspace that will decide whether the cutover can happen.
Trust story
The point is not that AI touched the migration. The point is that the team still trusts the outcome.
It behaves like a migration record, not a black-box demo.
It keeps human review where regulated programs still need it: scope, exceptions, variance, and cutover.
It can be wrapped with the ScaledNative services layer when the program needs practitioners and operators in the room.