The wait is over! The Toad Data Point 2025 R2 release is here - and it’s packed with powerful new features, intelligent enhancements, and platform expansions that redefine the way you connect, analyze, and collaborate with data. From Oracle Fusion connectivity to macOS support and major AI-driven capabilities, this release is designed to make your data work faster, easier, and more intuitive than ever before.
Oracle Fusion…supported
In this release, Toad Data Point introduces support for Oracle Fusion connections. This means you can now connect directly to the underlying Oracle database behind Oracle Fusion applications, giving you access to valuable operational and business data that was previously harder to reach.
With this improvement, you can:
-
Connect securely to Oracle Fusion’s underlying data model
-
Explore, query, and transform Fusion data alongside your other data sources
This new capability empowers data professionals to unlock insights from Oracle Fusion’s rich datasets - all within the familiar Toad Data Point interface.
Toad Data Point on macOS
Another milestone in this release: Toad Data Point is now available for macOS.
For the first time, macOS users can take full advantage of Toad Data Point’s powerful data connectivity, query building, and transformation tools - natively on their Mac.
Whether you’re in a cross-platform environment or fully committed to macOS, you can now enjoy the functionality of Toad Data Point on macOS - seamless integration with your existing databases and cloud platforms.
AI Ask: Smarter assistance across Toad Data Point and Toad Workbook
The Toad Data Point 2025 R2 release brings the power of AI Ask to multiple areas of your workflow, making data exploration, transformation, and analysis faster and more intuitive than ever.
AI Ask is now available in the Transform and Cleanse step in Toad Workbook and Query Builder, and Query Editor in Toad Data Point.
Beyond new integrations, AI Ask has received a major upgrade.
Toad Data Point 2025 R2 introduces:
-
Unique suggestions based on your current data and query results
-
Auto-complete capabilities while typing a question, helping you form clearer queries faster
These enhancements make AI Ask more interactive, context-aware, and precise - allowing you to move from question to insight faster than ever before.
Full support for Snowflake with Key pair authentication through Toad Data Point and Toad Intelligence Central
This release introduces the latest step in the full support of Snowflake with Key pair authentication – publishing of Views and Snapshots to Toad Intelligence Central.
With this improvement, you can:
-
Share prepared Snowflake data as reusable assets in Toad Intelligence Central
-
Ensure consistent access to curated datasets for analytics and reporting
-
Streamline data governance and reuse across teams while maintaining strong authentication and security standards
Why this release matters
The Toad Data Point 2025 R2 release represents a major step forward in usability, intelligence, and accessibility.
Here’s why it matters:
-
Broader reach – Now available for macOS and Oracle Fusion users
-
Smarter workflows – AI Ask enhancements make querying and transformation faster and more intuitive
-
Deeper collaboration – full support of Snowflake with Key pair authentication empowers teams to share data seamlessly through Toad Intelligence Central
-
Increased productivity – Natural language interaction reduces technical barriers and accelerates insight generation
Whether you’re an analyst, data engineer, or business user, this release is built to help you work smarter with your data — anywhere, anytime.
Get Started with Toad Data Point 2025 R2
New users: - Try a 30-day free trial of the full-featured edition from our product trial page.
Existing customers: - Download the latest version of Toad Data Point here.
For more details on new features, enhancements, and resolved issues, please refer to the Release Notes. If you need specifications or guidelines, you can view the Installation Guide and User Guide for comprehensive instructions.
We hope this release makes your data analysis tasks more efficient and enjoyable.