Empower the business with governed self-service
If requirements from business teams driving up your backlogs, empower them to self-serve on your cloud data platform with guardrails and governance.

Prophecy empowers both data platform teams and business users to build and manage pipelines directly on cloud data platforms like Databricks, Snowflake, and BigQuery.
Data engineers can visually develop pipelines that compile to Spark Python code, combining the ease of visual ETL with the power and flexibility of open-standard code.
Analysts and data scientists can self-serve using SQL Studio, an AI-powered intuitive interface that runs pipelines natively on your cloud data platform. All pipelines respect governance and access controls, are version-controlled in git, and follow engineering standards for production-readiness.


Prophecy helps speed replacement and consolidation of on-premises ETL and data preparation tools, providing a single platform for business and data platform teams.
With thousands of complex and mission critical workloads locked into proprietary formats, a manual rewrite can be daunting.
Prophecy’s migration tools speed modernization by importing pipelines from traditional, on-premises formats.