Overview

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DataFlint is the first AI co-pilot built for Apache Spark. It helps data teams debug and optimize Spark jobs in minutes instead of hours. The SaaS platform provides real-time visibility into job performance through a unified dashboard, with metrics across clusters, efficiency scores, cost trends, and automated root-cause alerts. Unlike generic AI tools, DataFlint is production-aware. It learns directly from your Spark logs and execution plans to deliver precise, context-aware code suggestions in your IDE (VS Code, IntelliJ, or Cursor). These include actionable fixes like adjusting partitioning, tuning executor memory, and optimizing joins. Teams using DataFlint achieve up to 10x faster job runtimes and 10x lower infrastructure costs, while gaining centralized monitoring and continuous performance insights across all Spark jobs.
Highlights
- AI-powered copilot for Apache Spark that delivers context-aware code suggestions to help fix performance issues faster
- Visual dashboard for tracking Spark job runs, performance trends, and efficiency scoring in real time
- Empowers data engineers to move 10x faster by automating Spark troubleshooting and surfacing the fixes they would otherwise spend hours finding
Details
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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
DataFlint SAAS web application & Copilot to fix spark jobs | Contact us for private offer at support@dataflint.io | $500,000.00 |
Vendor refund policy
Refunds are not provided. We offer a free trial to allow you to evaluate the product before purchasing. For any issues or questions, please contact us at support@dataflint.io .
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