Q: How do you reduce the risk of migrating mission-critical jobs?
A: Passerelle uses reverse engineering and tested frameworks to ensure continuity, minimizing downtime and protecting data integrity.
Many organizations are weighed down by outdated tools like Informatica and Tibco, brittle ETL frameworks, and siloed warehouses that can’t scale. Passerelle’s data migration services provide a structured, low-risk approach to moving workloads into modern, cloud-native environments that support real-time analytics and AI.
Why Data Migrations Matter
Legacy systems create high costs, operational inefficiencies, and roadblocks to innovation. As licensing fees increase and integrations become harder to maintain, organizations risk falling behind. Migrating to a modern environment reduces overhead, streamlines pipelines, and unlocks opportunities for advanced analytics.
With modern data migrations you can:
Every migration project balances risk reduction with modernization goals. Passerelle begins by cataloging existing workloads and identifying critical pipelines. Our team then uses reverse engineering and proven migration frameworks to safely move jobs into modern architectures, ensuring functionality is preserved and performance is improved. Throughout the process, governance and security controls are embedded to protect data integrity. Once migration is complete, organizations gain a clean, scalable environment that supports both everyday ingestion needs and advanced use cases.
“Knowing that we are using a product that can scale and that can become very resilient is very important. In less than three years, we have become the largest single one stop place for material sampling in the world.” Juan Lopez, Executive Vice President of Engineering at Material Bank
Eliminate reliance on expensive ETL platforms such as Informatica and Tibco. Migration frameworks reduce downtime while ensuring a smooth transition to cloud-native solutions.
Rebuild brittle ETL jobs into scalable pipelines that handle both batch ingestion and real-time processing. Standardized blueprints ensure repeatability and lower risk.
Bring siloed data together in a single, governed warehouse. Consolidation improves visibility, reduces redundancy, and strengthens trust in organizational data.
Protect data integrity with embedded governance, quality checks, and observability. Compliance is built in, ensuring migrated workloads are auditable and secure.
Complete migrations with an environment that is optimized for analytics, machine learning, and AI adoption. Modern pipelines and governance lay the groundwork for future initiatives.
A: Passerelle uses reverse engineering and tested frameworks to ensure continuity, minimizing downtime and protecting data integrity.
A: Timelines vary, but many organizations complete priority migrations in 90 days or less, with phased expansion for larger estates.
A: We recommend a phased approach, starting with high-value workloads to deliver early wins while minimizing disruption.
A: Training and enablement are included so your staff can manage and extend pipelines after cutover.