Make your business data teams incredibly productive on Databricks
Databricks is a powerful platform widely deployed by data platform teams. Prophecy is designed to enable business data users on Databricks and make them incredibly productive, while following platform best practices.
Empowering Business Data Teams
Prophecy and Databricks bring together AI-powered development and enterprise-scale governance so business users can build, govern, and deploy data pipelines faster and with full confidence.
Self-service productivity
Build pipelines visually on Databricks with Prophecy’s AI-powered canvas. Move faster, make decisions sooner, and cut costs by reducing backlog and cross-team friction.
Governed native experience
Start from Partner Connect with full Unity Catalog integration. Get single sign-on, consistent governance, and native Databricks code that runs at scale and follows platform best practices.
Path to production
Skip rework. Business users no longer rely on desktop prep tools that slow production. Prophecy pipelines are production-ready SQL or Spark code- tested, performant, and deployed through existing CI/CD workflows.
Architected for Collaboration
on Databricks
Prophecy Studio
Prophecy Studio empowers every user to be productive.
AI agents: They take on an increasing share of data work, collaborating with users to build visual pipelines, reading requirements, and generating regulatory documents - all on the same formats as the user.
Right interface: Visual pipelines are the natural format for both users and AI agents. They’re easy to understand, edit, and extend.
Code foundation: Visual pipelines mirror underlying code, bringing software engineering best practices and smooth deployment to all users.
Prophecy Automate
Traditional data engineering stacks fail to deliver a smooth experience in both development and production. Automate fixes that.
Ingest and write: Business users often read data from sources like SharePoint and write to Tableau or Power BI. Automate provides an intuitive interface and integrates directly with the visual pipeline canvas.
Schedule and observe: Pipelines can fail in production. Instead of deciphering stack traces, business users see their visual pipeline with the failing operator highlighted, the broken data surfaced, and an AI-suggested fix.
Transform at scale: Automate runs transformations natively on Databricks as optimized, high-performance code.
Ready to make your business teams productive on Databricks?
