Skip to content
Brief
Prophecy

Prophecy

Data & Analyticsprophecy.io

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 May 11, 2026

Founded
2021
HQ
San Francisco, California, United States
Connections
6

At a glance

Employees
51-200
Funding
$61M
6integrations

About

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • Visual Data Pipeline Designer

    Drag-and-drop interface for building Spark and dbt data pipelines without writing code

  • Code Generation

    Automatically generates production-quality Spark and SQL code from visual designs

  • Git Integration

    Native version control integration for collaborative development and CI/CD workflows

  • Data Lineage

    Visual tracking of data flow and transformations across pipelines

  • Metadata Management

    Centralized management of data assets, schemas, and pipeline metadata

Key features

Visual development for Apache Spark and dbtAutomatic code generationGit-based version controlMulti-cloud support (AWS, Azure, GCP)Collaborative development environmentData lineage and impact analysisPipeline orchestration and schedulingInteractive data exploration

Use cases

ETL/ELT pipeline developmentData warehouse transformationData lake processingReal-time data processingAnalytics data preparationMachine learning data pipelines

Customer segments

Enterprise data teamsData engineersAnalytics engineersData analystsData scientists

Tech & specs

Technology stack

Apache Sparkdbt (data build tool)GitDatabricksAWSAzureGoogle Cloud PlatformSnowflakeApache Airflow

Security & compliance

SOC 2GDPR

Deployment

CloudHybrid

API

Yes

Corporate history
  • 2021Founded
See integrations with Prophecy (6)

Explore further

2 views