Sifflet uses AI-powered dynamic monitors and data validation rules to automate data quality monitoring across your pipelines. It also integrates with tools like Snowflake and dbt to ensure data freshness checks and schema validations are embedded into your workflows without manual overhead.

Great distinction! Data distribution shows you how values are spread across a dataset, while data lineage tracking helps you trace where that data came from and how it’s moved through your pipeline. Both are essential for root cause analysis, but they solve different parts of the puzzle in a robust observability platform.

A data catalog is critical because it helps teams find, understand, and trust their data. It centralizes metadata, making data assets searchable and understandable, which reduces duplication, speeds up analytics, and supports data governance. When paired with data observability tools, it becomes a powerful foundation for proactive data management.

This checklist is for anyone who relies on trustworthy data—from CDOs and analysts to DataOps teams and engineers. Whether you're focused on data governance, anomaly detection, or building resilient pipelines, the checklist gives you a clear path to choosing the right observability tools.

When evaluating observability tools, scalability is key. Look for features like real-time metrics, automated anomaly detection, incident response automation, and support for both batch data observability and streaming data monitoring. These capabilities help teams stay efficient as data volumes grow.

When a data catalog integrates seamlessly with your databases, cloud storage, and data lakes, it enhances your ability to monitor data pipelines in real time. This connectivity supports better ingestion latency tracking and helps maintain a reliable observability platform.

With Sifflet and dbt working together, you get real-time alerts delivered straight to your favorite tools like Slack, Microsoft Teams, or email. Whether a dbt test fails or a data anomaly is detected, your team will be notified immediately, helping you respond quickly and maintain data quality monitoring at all times.