Prophecy enables data teams to build production-grade data pipelines visually while generating clean, reusable code, bridging the gap between low-code simplicity and code-first flexibility for Apache Spark and dbt workflows.
Last updated Feb 8, 2026
Emerging player in the low-code data engineering platform space, competing with traditional ETL tools and modern data transformation platforms
Prophecy is a low-code data engineering platform, not an AdTech company. It provides visual development tools for building data pipelines using Apache Spark and dbt (data build tool). The platform enables data engineers, analysts, and scientists to collaborate on data transformation workflows through a drag-and-drop interface while still generating production-quality code. Prophecy targets enterprises looking to accelerate their data engineering processes and democratize data pipeline development across technical and semi-technical users. While Prophecy operates in the data infrastructure and analytics space rather than advertising technology, its platform could be used by AdTech companies for managing their data pipelines and analytics workflows. The company focuses on making data engineering more accessible and efficient through visual development while maintaining the flexibility and power of code-based approaches. Prophecy supports deployment across major cloud platforms including AWS, Azure, and Google Cloud.
Drag-and-drop interface for building Spark and dbt data pipelines without writing code
Automatically generates production-quality Spark and SQL code from visual designs
Native version control integration for collaborative development and CI/CD workflows
Visual tracking of data flow and transformations across pipelines
Centralized management of data assets, schemas, and pipeline metadata