In July 2025, Microsoft will discontinue support for the Microsoft Connector for Oracle in SQL Server Integration Services (SSIS). This blog provides essential details to help customers prepare for this change in advance.
The Microsoft Connector for Oracle enables data export from and import into Oracle databases within an SSIS package. This feature, available in Enterprise editions of SQL Server 2019 and 2022, will remain functional for the lifecycle of the SQL Server product. However, support for this feature will officially end on July 4, 2025. With the deprecation, future product releases will provide no further bug fixes. Additionally, it will not be supported from SQL Server 2025 and onwards.
Today, customers are leveraging the Microsoft Connector for Oracle in a variety of scenarios, including integrating Oracle data with other sources and supporting ETL (Extract, Transform, Load) processes to gain valuable insights. We recommend that customers use the SSIS ADO.NET Source and ADO.NET Destination components as the primary alternative solution to the Microsoft Connector for Oracle.
These SSIS ADO.NET components offer similar ETL capabilities for connecting Oracle databases with a .NET provider, specifically the OracleClient Data Provider, to connect, transfer, and transform your data efficiently. For further detailed instructions, please refer to the step-by-step guide.
Exploring best-in-class connectivity to Oracle with Microsoft Fabric
The announcement of the deprecation of the SQL Server Integration Services (SSIS) Microsoft Connector for Oracle also presents an opportunity to explore new solutions for modern data integration with Oracle.
Microsoft Fabric is an end-to-end analytics and data platform designed for enterprises that require a unified solution. It encompasses data movement, processing, ingestion, transformation, real-time event routing, and report building. It offers a comprehensive suite of services including Data Engineering, Data Factory, Data Science, Real-Time Analytics, Data Warehouse, and Databases.
Data Factory in Microsoft Fabric offers a modern data integration experience with Oracle databases, allowing reading from Oracle databases on-premises or behind a virtual network, and writing to any data destination.
Mirroring in Microsoft Fabric allows users to enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs. You can continuously replicate your existing data estate directly into Fabric’s OneLake, which can be used for all your analytical needs. This feature allows businesses to continuously integrate their existing data estate without complex ETL.
Let’s explore the details of each of the approaches below.
Oracle connectivity with Data Factory
Data Factory in Microsoft Fabric provides a modern data integration experience to ingest, prepare, and transform data from a rich set of data sources. It incorporates the simplicity of Power Query, and you can use more than 200 native connectors to connect to data sources on-premises and in the cloud.
One of the powerful features of Data Factory is its ability to configure and manage Oracle database connections in a copy activity. This functionality allows organizations to seamlessly integrate their Oracle databases into their data pipelines, ensuring efficient data movement and transformation. Configure Oracle database in a copy activity provides comprehensive instructions on how to perform this configuration.
You can leverage the on-premises data gateway to securely connect to your on-premises Oracle database. This gateway acts as a bridge, enabling seamless data movement between on-premises data sources and cloud services. For detailed instructions, please refer to move data from Oracle to Fabric Lakehouse via pipeline and on-premises data gateway.
Replicating Oracle data into Fabric’s OneLake with Mirroring
Mirroring in Microsoft Fabric offers a modern approach to seamlessly accessing and ingesting data from any database or data warehouse into OneLake in Microsoft Fabric. This feature allows businesses to continuously integrate their existing data estate without complex ETL processes.
Open Mirroring in Fabric is extensible, customizable, and built on the open Delta Lake table format. It enables applications and data ISVs (Independent Software Vendors) to write change data directly into a mirrored database in Fabric using public APIs (Application Programming Interface). Once the data lands in OneLake, Open Mirroring handles complex data changes, ensuring all mirrored data remains continuously up-to-date and ready for analysis.
We are thrilled to see Oracle Golden Gate streamline the delivery of mirroring solutions in Microsoft Fabric by integrating their data solution into Open Mirroring. As a key partner in our Open Mirroring ecosystem, Oracle Golden Gate offers a powerful and seamless approach to data replication, enabling continuous and efficient integration of data into Microsoft Fabric’s OneLake. This partnership highlights our commitment to providing modern, extensible solutions that simplify data integration and drive value for our customers.
Simplifying Oracle to SQL Server Migration: Leveraging Microsoft SQL Server Migration Assistant (SSMA)
Additionally, if you are looking to migrate Oracle Database to SQL Server, Microsoft SQL Server Migration Assistant (SSMA) is a tool designed to automate database migration. SQL Server Migration Assistant (SSMA) for Oracle is a comprehensive environment that helps you quickly migrate Oracle databases to SQL Server, Azure SQL Database. The Oracle to SQL Server migration guide provides detailed instructions on how to migrate your Oracle database to SQL Server using SSMA for Oracle. This comprehensive guide ensures a smooth transition, minimizing disruptions and maximizing efficiency.
Looking forward
The deprecation of the SSIS Microsoft Connector for Oracle offers an opportunity to explore and implement more advanced and robust data integration solutions. By considering the ADO.NET components, Microsoft Fabric, or Microsoft SQL Server Migration Assistant for Oracle, organizations can ensure continued efficiency and reliability in their data integration processes. Each of these alternatives brings unique benefits, allowing businesses to choose the one that best aligns with their operational requirements and strategic goals.
As the landscape of data integration evolves, staying informed about the latest tools and technologies will be crucial for maintaining a competitive edge and achieving seamless data connectivity. By proactively addressing the deprecation and selecting the appropriate alternative, organizations can continue to leverage their data assets effectively and drive business success.
