Most business cases start with the price of migrating. This one starts with the price of not migrating - support and licensing you keep renewing, infrastructure sized for peak, and the projects that never start because the data sits where it sits.
Standing still looks free because the invoice doesn't change. The spend moves to lines nobody attributes to the database.
Many Sybase environments carry ongoing support renewals, legacy licensing costs, and expensive infrastructure maintenance. Azure PostgreSQL removes proprietary database licensing and introduces a more flexible consumption model.
Many Sybase estates contain decades of accumulated custom code, integrations, and operational workarounds. This slows product development, modernisation, and digital transformation efforts.
Modern initiatives such as Microsoft Copilot, Azure AI, Microsoft Fabric, real-time intelligence, and advanced analytics require a modern data platform. Legacy databases create friction for AI adoption.
Azure handles patching, backups, high availability, and scaling automatically, allowing IT teams to focus on innovation instead of infrastructure management.
Reduce operational complexity, strengthen security, improve scalability, and build a foundation ready for AI-driven innovation.
Modernize legacy Sybase workloads by moving to Azure SQL, reducing dependency on aging database infrastructure and enabling a cloud-first data architecture.
Azure SQL provides managed database capabilities, reducing the operational effort required for hardware, patching, backups, maintenance, and database infrastructure management.
Scale compute and storage based on workload requirements and leverage Azure capabilities to support growing data volumes and changing business demands.
Reduce infrastructure and operational costs while leveraging built-in backup, security, high availability, and disaster recovery capabilities provided by Azure.
Discuss your Sybase environment and explore the fastest path to Azure SQL.