Prophecy
Low-code development platforms
Big data processing and distribution systems
Big data integration platforms
ETL tools
Application development software
Rapid application development (RAD) software
Database software
Big data software
Data integration tools
Cloud data integration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Prophecy
Prophecy is a visual data engineering and integration platform that generates code for building and operating data pipelines, commonly on Apache Spark and cloud data platforms. It targets data engineers and analytics teams that want to standardize ETL/ELT development with a low-code interface while keeping pipelines deployable as code. The product emphasizes collaborative development, reusable components, and integration with common data ecosystem tools (for example, Git and CI/CD) to support governed pipeline delivery.
Visual pipeline design for Spark
Prophecy provides a graphical interface for designing transformations and end-to-end pipelines that compile into executable code, reducing manual coding for common ETL patterns. This can speed up development for teams working heavily in Spark-based environments. It also helps standardize pipeline structure across projects by encouraging consistent patterns and reusable components.
Code generation and Git workflows
The platform generates code artifacts that can be versioned and reviewed in Git, which supports collaboration and change control. This approach can fit organizations that require code review, branching, and CI/CD rather than purely model-driven runtime execution. It also helps teams avoid lock-in to a proprietary runtime for day-to-day pipeline execution by keeping deliverables in code form.
Collaboration and reusable components
Prophecy supports shared components (such as reusable transformations and templates) that teams can apply across multiple pipelines. This can reduce duplicated work and improve consistency in naming, testing, and operational conventions. The collaborative model is useful for larger data teams that need governance and standardization across many contributors.
Best fit for Spark-centric stacks
Prophecy’s value is strongest when an organization standardizes on Spark and related cloud data platforms. Teams using primarily non-Spark engines or highly heterogeneous processing frameworks may see less benefit or require additional tooling. Some advanced transformations still require custom code, which reduces the advantage of a purely visual approach.
Requires engineering discipline to scale
Although the UI accelerates development, production-grade delivery still depends on solid practices around Git, CI/CD, testing, and environment management. Organizations without mature data engineering processes may face a learning curve to operationalize generated projects reliably. Governance features help, but they do not replace platform engineering work for deployment and observability.
Cost and platform complexity
As a commercial platform, total cost can increase with team size, environments, and enterprise requirements. The product typically sits alongside existing data platforms (compute, storage, orchestration, monitoring), which can add architectural complexity. Buyers often need a clear operating model to avoid overlapping capabilities with existing integration and orchestration tools.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter (Personal) | $0 — Free forever | Single user; 10 compute credits per month; AI Agents for data discovery, Visual Canvas, ingest/export/transform capabilities, scheduling; community support. cite |
| Pro (Professional) | $30 per month per user (From) | Includes all Starter features; unlimited users with Google auth; includes $25 of free compute credits (page also documents 30 credits/month/user); additional credits purchasable; 1 credit = $2; compute: 0.12 credits/hour (2vCPU,16GB); storage: 0.02 credits/GB/month; network egress: 0.045 credits/GB; AI request: 0.125 credits/request. cite |
| Enterprise Express | $4,000 per month (billed annually) | Single-tenant dedicated SaaS environment; 20 discounted seats; dedicated engineers for 90 days; Databricks Lakehouse support; packaged onboarding. Contact sales for details. cite |
| Enterprise | Custom / Contact sales | Unlimited scale, direct procurement, enterprise features (Databricks, BigQuery), premium support — pricing via purchase order / contact sales. cite |
Seller details
Prophecy, Inc.
Palo Alto, CA, USA
2017
Private
https://www.prophecy.io/
https://x.com/prophecyio
https://www.linkedin.com/company/prophecy-io/
