SQL Server 2025 introduces breaking changes for SSIS. Organizations still relying on manually maintained packages face growing technical debt and risk. AnalyticsCreator offers a sustainable, automated path forward with metadata-driven package generation, deployment, and modernization.
The latest SSIS updates in SQL Server 2025 remove 32-bit execution support and deprecate the Package Store and key connectors. These shifts disrupt existing deployments and force reengineering of pipelines using unsupported components.
Without automation, teams must manually identify, refactor, and validate packages—a time-intensive and error-prone process. Even modern SSIS teams face disruptions as they migrate to .NET 8 and Visual Studio 2022 for compatibility.
AnalyticsCreator enables a metadata-first approach to SSIS that eliminates manual maintenance. Through model-driven generation, it automates 64-bit package creation, replaces deprecated logic, and deploys directly to SSISDB using structured templates.
Legacy packages relying on 32-bit runtime will fail. AnalyticsCreator generates 64-bit packages by default, with centralized configuration to update all affected packages at once.
SSISDB is now the only supported deployment target. AnalyticsCreator already uses SSISDB-based deployment templates and supports role-based access, parameterization, and logging out of the box.
Native CDC support for Oracle and Hadoop is removed. AnalyticsCreator replaces these with Azure-native or third-party connectors abstracted through metadata, avoiding full rebuilds.
SDS connections must be replaced by ADO.NET. AnalyticsCreator lets users globally configure connection managers via metadata—automating reconfiguration across all packages.
Custom tasks must be refactored for .NET 8. AnalyticsCreator mitigates this through logic abstraction, eliminating reliance on custom code by generating compatible logic from central models.
SSIS 2025 represents a breaking point for manual ETL. To avoid disruption, organizations need a governance-ready automation engine like AnalyticsCreator. Its metadata-driven design ensures compatibility, reduces operational overhead, and provides a sustainable path for modernization.