Data engineering · Switzerland

Your data.
New
possibilities.

Migrate across technologies. Protect sensitive data. Keep your databases under control.

Explore our solutions

A suite of tools in development, designed for data teams.

Initial target technologies
OracleSQL ServerPostgreSQL
01 / Our solutions

Three tools.
One shared standard.

Clear operations, transparent checks and verifiable results.

01 / MIGRATION

Change engines.
Stay in control.

Plan and manage data transfers between different database management systems.

  • Compatibility assessment
  • Type and column mapping
  • Transferred data validation
In development
02 / ANONYMISATION

Useful data.
Less exposure.

Prepare datasets for testing and development with rules tailored to sensitive information.

  • Configurable masking rules
  • Consistency across tables
  • Transformation checks
Planned solution
03 / MONITORING

See clearly.
Act in time.

Bring together essential metrics to understand database health and support troubleshooting.

  • Performance monitoring
  • Anomaly detection
  • History and alerts
Planned solution
02 / Our approach

Build confidence
at every step.

A successful migration is measured by the quality of the data at its destination.

01 — BEFORE

Understand the source

Identify objects, dependencies and differences between technologies to define a clear scope.

02 — DURING

Make every choice visible

Make conversions explicit, track processing and retain the information needed to resume interrupted work.

03 — AFTER

Verify the outcome

Reconcile data and document discrepancies so that the next steps are based on evidence.

03 / Technologies

Multiple engines.
One shared ambition.

Our roadmap starts with Oracle, SQL Server and PostgreSQL. Additional connectors may extend the suite as needs evolve.

Oracle 19c+ ⇄ SQL Server 2019+Development version
Oracle 19c+ ⇄ PostgreSQL 15+Initial connector
Other technologiesComing later
The migration product

Alporya Data Migration

Prepare. Copy. Verify.

Create a project, select your schemas and tables, then define target mappings. Track committed rows, progress and elapsed time in a migration report.

Saved projectsType mappingProgress and reports

One-shot copying with a stable source. Conversions and dependencies are checked before copying; compatibility must be validated in your environment.