Co-Authored by Santhi Vanapalli, Product Manager at Pantomath, and Peter Wang, Staff Product Manager at Databricks.

We’re excited to announce that Pantomath is now officially a Databricks Validated Partner. This milestone signifies our joint commitment to helping organizations streamline their data operations and enhance the reliability of their analytics ecosystem. By combining Databricks’ advanced analytics and data engineering capabilities with Pantomath’s end-to-end data observability and automated data operations, customers can confidently build, manage, and optimize their data pipelines across their entire environment.

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What This Means for Databricks + Pantomath Customers

Comprehensive Monitoring Across the Data Stack

Databricks excels at monitoring jobs and datasets within its platform. Pantomath extends this visibility beyond Databricks, monitoring data flows across other systems in your analytics stack. Customers gain a single pane of glass for understanding where something went wrong, how it impacts downstream assets, and how to remediate issues quickly.

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A Holistic View of Your Data Ecosystem

When Databricks’ powerful processing and analytics engine is paired with Pantomath’s cross-platform pipeline monitoring, data teams can:

• Detect anomalies early and pinpoint root causes, even beyond Databricks’ boundaries.
• Understand downstream dependencies and proactively mitigate risk.
• Ensure end-to-end reliability and trust in data pipelines powering everything from dashboards to mission-critical applications.

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Automated Traceability and Reliability

Pantomath automates the discovery of data assets and their relationships - providing end-to-end lineage from upstream ingestion through transformation to downstream consumption. By delivering real-time traceability, Pantomath empowers teams to rapidly diagnose and resolve issues—whether it’s a delayed pipeline, a data quality failure, or an unexpected anomaly—minimizing data downtime and ensuring operational continuity. With deep visibility into dependencies and impact, organizations can proactively manage their data ecosystem and make faster, more informed decisions.

Key Differentiators

1. Full Coverage of Databricks Workflows and Pipelines
   Pantomath doesn’t stop at monitoring datasets. It keeps tabs on Databricks Workflows, Tasks, and DLT pipelines, delivering a detailed view of data-in-motion. This granular insight reveals the exact path your data takes, helping you quickly isolate issues and understand downstream impact.
2. Cross-Platform Visibility
   Modern enterprise data stacks often span a variety of services. Pantomath integrates seamlessly with Databricks as well as other major data platforms (Tableau, PowerBI, AFT, dbt, Fivetran and more), providing a true end-to-end perspective that wouldn’t be possible with isolated monitoring solutions.
3. Real-Time Insights and Alerts
   Pantomath alerts you to anomalies the moment they occur, enabling timely interventions before they disrupt business processes or produce inaccurate reports. This real-time observability ensures your teams are always informed and able to act.
4. Faster, More Efficient Remediation
   With a complete lineage view and robust diagnostics, data engineers can troubleshoot and resolve issues in a fraction of the time it traditionally takes. Eliminating guesswork frees up teams to focus on building new solutions rather than firefighting data outages.

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Real-World Impact

TQL

Total Quality Logistics (TQL) struggled with thousands of reports and complex pipelines feeding their analytics environment. By leveraging Pantomath, TQL gained immediate visibility into both the health of their data pipelines and the data itself. The ability to see how a small change—like modifying how zip codes are handled—rippled through downstream reports allowed TQL to avoid costly errors and data downtime.

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F250 Financial Services Customer

Customer processes monthly billing with strict 24-hour turnaround times and zero room for error. Before Pantomath, detecting and remediating pipeline issues was tedious and time-consuming. Now, they identify problems early, fix them quickly, and keep billing processes running smoothly. Pantomath’s real-time alerts, cross-platform traceability, and automated lineage have cut issue resolution time from days to hours—or even minutes, giving them confidence and consistency in their billing.

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Getting Started

Whether you’re looking to cut down on issue resolution times, monitor pipelines across multiple services, or confidently scale your data operations, this integration delivers the visibility and peace of mind you need.

As a Databricks Validated Partner, Pantomath upholds the performance and security standards Databricks customers expect. Ready to see our combined solution for yourself?

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Next Steps

• Learn More: Visit our partner page for more information.
• Schedule a Demo: See the difference for yourself.

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We look forward to continuing our work with Databricks, delivering a best-in-class solution that goes far beyond just data observability – helping you solve data issues before you even know they exist.