Sentinel is our monitoring agent that automatically recommends the right monitors based on your data’s structure and usage. By analyzing data samples, column patterns, and relationships, it helps teams scale data pipeline monitoring across hundreds of tables without drowning in alerts. It’s a smarter way to ensure data reliability without manual setup.

The upgraded Distribution Change monitor now focuses on tracking volume shifts between specific categories, like product lines or customer segments. This makes anomaly detection more precise by reducing noise and highlighting only the changes that truly matter. It's a smarter way to stay on top of data drift and ensure your metrics reflect reality.

Honestly, anyone who relies on data to make decisions—so pretty much everyone. Data engineers, BI teams, data scientists, RevOps, finance, and even executives all benefit. With Sifflet, teams get proactive alerts, root cause analysis, and cross-functional visibility. That means fewer surprises, faster resolutions, and more trust in the data that powers your business.

Data observability complements data governance by continuously monitoring data pipelines for issues like data drift, freshness problems, or anomalies. With an observability platform like Sifflet, teams can proactively detect and resolve data quality issues, enforce data validation rules, and gain visibility into pipeline health. This real-time insight helps governance policies work in practice, not just on paper.

Data lineage provides visibility into data dependencies, which helps teams assign, prioritize, and resolve alerts more effectively. In an observability platform like Sifflet, this means faster incident response, better alert correlation, and improved on-call management workflows.

Sifflet’s data catalog provided a clear and organized view of jobvalley’s data assets, making it much easier for new team members to understand the data landscape. This significantly cut down onboarding time and helped new hires become productive faster.

By integrating real-time data quality monitoring directly into your orchestration layer, Flow Stopper gives Data Engineers the ability to stop the flow when something looks off. This means fewer broken pipelines, better SLA compliance, and more time spent on innovation instead of firefighting.

At Sifflet, data security is built into the foundation of our data observability platform. We follow three core principles: least privilege, no storage, and single tenancy. This means we only use read-only access, never store your data, and isolate each customer’s environment to prevent cross-tenant access.