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Last updated on Jan 16, 2026

Prerequisites

Before you dive into using DataFuse AI, there are a few essential steps and requirements to ensure you’re set up for success.

1. Account Creation​

To get started with DataFuse AI, the first step is creating an account and setting up your tenant for your workspace. This is an essential step that enables access to the platform and customization for your organization.

Action:

Follow the step-by-step instructions provided in the Account Sign Up & Setup guide to create your account and tenant.

2. System Requirements​

To use DataFuse AI, here’s what you’ll need:

  • Operating System: Supported on most modern operating systems including Linux, macOS, and Windows.

  • Browser Compatibility: Our platform is optimized for the latest versions of popular browsers like Google Chrome, Microsoft Edge, and Mozilla Firefox. For the best experience, ensure your browser is up to date.

  • Data Processing Infrastructure: You can run DataFuse AI on your preferred data processing infrastructure. For data processing, we support external engines like Databricks (both managed or your own instance) or Livy. A processing engine is required for running queries, pipelines, and jobs.

For more details on setting up your engine, refer to the Engine Setup guide.

3. Data Source Availability​

To unlock the full power of DataFuse AI, you'll need to integrate your data sources:

  • Setup Your Data Sources: This includes databases (e.g., MySQL, PostgreSQL), cloud storage (e.g., S3), APIs, and other external data sources. You need to have your data available at some source where you have hosted.
Note:

You’ll learn more about creating and managing connection profiles in the Connection Profile section.

Next Steps

Once you've completed these prerequisites, you'll be ready to start using DataFuse AI. Check out the following guides to continue your journey:

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