We’re thrilled to announce the first major release of TimeXtender Data Integration for 2025!
Packed with innovative features and critical updates, this release is designed to streamline your data integration workflows and help your organization tackle complex data transformation projects with ease.
Whether you’re looking to expand your Microsoft Fabric Lakehouse capabilities, simplify REST API integrations, or manage data source connections more efficiently, this release has you covered.
Here’s everything you need to know about the exciting updates and how they can empower your organization with data, mind, and heart:
Advanced MS Fabric Lakehouse Integration
One of the standout enhancements in this release is our deeper integration with Microsoft Fabric Lakehouse. You can now perform sophisticated data transformations directly within your Fabric Lakehouse environment, all while leveraging the simplicity of TimeXtender’s low-code, drag-and-drop interface.
Note: These capabilities are currently in Public Preview as we continue to refine and expand the feature set based on user feedback.
New capabilities include:
- Support for Complex Transformations: Create surrogate keys, implement lookups, and build aggregate tables seamlessly. These features make it easier than ever to handle intricate data modeling tasks without jumping between platforms.
- Custom Code Flexibility: For advanced scenarios, we’ve introduced the ability to embed PySpark notebook cells directly into TimeXtender tables. This allows you to implement highly customized transformations, giving you unlimited flexibility to tailor data workflows to your needs.
- Improved Usability: The updated Prepare instance for Fabric Lakehouse now supports conditional lookup fields and transformations, taking it beyond the previous "simple mode." While certain features like history, custom views, and hierarchy tables are still in the works, the current improvements are a significant leap forward.
With these enhancements, your team can save valuable development time while handling complex transformation requirements entirely within the TimeXtender environment.
Check out our Microsoft Fabric page here.
Streamlined REST API Integration
Integrating with complex REST APIs can often be a time-consuming and error-prone task. With this release, we’ve made it faster and easier to connect to APIs using a range of powerful new tools and features:
- Swagger/OpenAPI Import: Automatically configure REST connections by importing API documentation in Swagger or OpenAPI format. TimeXtender will set up headers, endpoints, and global values for you, eliminating manual setup.
- Enhanced Data Format Support: In addition to JSON and XML, you can now handle data in CSV and plain text formats, ensuring compatibility with a wider range of APIs.
- Dynamic and Custom Values: Create dynamic values with the new ‘Endpoint query’ feature, combining data from multiple endpoints using SQLite queries. This allows for advanced API interactions, such as creating custom headers or combining datasets.
- OAuth Flexibility: Support for both standard and custom OAuth authentication methods ensures secure and seamless connections, regardless of API requirements.
These improvements mean less time spent wrestling with API configurations and more time using the data to drive insights.
Efficient Data Source Management
Managing data source connections across different environments has been vastly improved, thanks to the new import/export capabilities:
- Seamless Connection Transfers: You can now export fully configured connection settings as JSON profiles or connection strings. These can then be imported into other accounts or environments, ensuring consistent configurations across your data environment.
- Password-Safe Exports: Sensitive fields like passwords are excluded from export files, so you can share connection profiles securely with teammates or reuse them in different environments without risking security breaches.
- Simplified Provider Changes: Switching providers for a data source connection is now safer and easier. When changing providers, TimeXtender creates a duplicate connection with the new provider while leaving the original connection intact. This approach minimizes disruption and ensures you can test changes confidently.
These features significantly reduce the complexity of managing connections, enabling you to focus on high-value tasks instead of repetitive setup processes.
Additional Fixes and Improvements
We’ve also addressed several customer-reported issues and made improvements to enhance the overall user experience:
- Fixed issues with instance migration settings, ensuring smoother transitions between environments.
- Resolved several interface glitches, including dropdown misalignments and overlapping elements.
- Addressed issues with specific targets, such as Snowflake and Fabric Lakehouse schemas, ensuring more reliable performance.
Why This Release Matters
This update reinforces TimeXtender’s mission to simplify and unify the data integration process. By automating repetitive tasks, improving compatibility with modern tools, and expanding transformation capabilities, we’re helping organizations focus on leveraging the full power of their data rather than just managing it.
For teams working in fast-paced environments, these enhancements mean quicker setup, fewer roadblocks, and more opportunities to unlock insights. Whether you’re modernizing your data infrastructure, scaling your data projects, or looking to streamline API integrations, TimeXtender’s latest release is here to help.
Get Started Today
Ready to explore these new features? Head over to the TimeXtender product updates page for detailed documentation and how-to guides.
If you’re new to TimeXtender, request a demo to see these enhancements in action.
We’d love to hear your thoughts on the new release. Join the conversation in the TimeXtender Community to share feedback, ask questions, or connect with other users.
Thank you for being part of the TimeXtender journey. We’re excited to see what you’ll achieve with these new tools and capabilities!