FAQ

If you want more than just a standalone Oracle Fusion SQL editor, BI Connector is a strong alternative. BI Connector Desktop Edition provides a modern and integrated Oracle Fusion SQL development experience with metadata browsing, query validation, Git integration, enterprise AI support, direct publishing to Oracle Fusion, and Visual Studio Code integration, making it a comprehensive alternative to standalone SQL editors like SQLConnect. Here’s a detailed comparison of SQLConnect and BI Connector.

Yes. Your existing Oracle Fusion SQL queries can be brought into BI Connector, so you do not need to rebuild your SQL logic from scratch. Your team’s knowledge of Fusion tables, joins, and reporting logic remains relevant while you transition to a modern development workflow.

No. BI Connector Desktop Edition is designed for Oracle Fusion SQL development and includes Visual Studio Code integration, Git workflows, enterprise AI support, unlimited Fusion environments, and direct publishing. You need Server Edition only when you want to automate data pipelines to enterprise analytics platforms.

Yes. You can evaluate BI Connector alongside your existing SQLConnect workflow before making a complete transition. This allows your developers to test SQL development, environment connections, Visual Studio Code workflows, and direct publishing without immediately disrupting ongoing Oracle Fusion reporting projects or established development processes.

No, BI Connector is an alternative to both SQLConnect Individual and Enterprise editions. It is particularly suited for teams that want to move beyond a standalone SQL editor and bring Oracle Fusion development into their existing VS Code, Git, and enterprise AI workflows, with a path to automated analytics.

BI Connector Desktop Edition starts at $500 per user annually and includes all modern Fusion SQL development capabilities without an Enterprise-tier upgrade. By combining SQL development, VS Code, Git, enterprise AI, and direct publishing, BI Connector can reduce tool sprawl, development effort, and long-term costs, delivering greater ROI as teams scale.