If your team already uses ServiceNow for incident management, having your data alerts show up there means fewer missed issues and faster resolution times. It brings transparency to your data pipelines and supports better data governance and trust.

Sifflet provided Meero with powerful tools for root cause analysis and incident management. With features like data lineage tracking and automated alerts, the team could quickly trace issues back to their source and take action before they impacted business users.

One major challenge was shifting the company culture from being data-aware to truly data-driven. Technically, integrating new observability tools into existing infrastructures and managing the initial investment in time and resources also posed hurdles.

With Sifflet, you’ll receive real-time alerts for any data quality issues detected in your Firebolt warehouse. These alerts are powered by advanced anomaly detection and data freshness checks, helping you stay ahead of potential problems.

Data distribution deviation happens when the distribution of your data changes over time, either gradually or suddenly. This can lead to serious issues like data drift, broken queries, and misleading business metrics. With Sifflet's data observability platform, you can automatically monitor for these deviations and catch problems before they impact your decisions.

The four pillars—metrics, metadata, data lineage, and logs—work together to give teams full visibility into their data systems. Metrics help with data profiling and freshness checks, metadata enhances data governance, lineage enables root cause analysis, and logs provide insights into data interactions. Together, they support proactive data quality monitoring.

Unlike tool-specific catalogs, Sifflet serves as a 'Catalog of Catalogs.' It brings together metadata from across your entire data ecosystem, providing a single source of truth for data lineage tracking, asset discovery, and SLA compliance.

We’re focused on solving the next generation of challenges, like hybrid environments, end-to-end data lineage tracking, and scaling data trust. Whether it's batch data observability or real-time pipeline monitoring, our mission is to help organizations build resilient, transparent, and future-proof data stacks.