Data Monitoring tells you when something is wrong.

Monitoring collects and analyzes predetermined data gathered from individual systems.

Data Monitoring is primarily reactive, aiming to quickly perform routine checks as per established standards.

Data Monitoring operates through data ingestion, issue identification, and data cleaning

Data Observability does not assume that something is wrong.

Observability aggregates data produced by IT systems.

Data Observability takes a proactive approach, aiming to prevent issues by providing insights into the entire data ecosystem and enabling optimizations before problems arise.

On the other hand, Data Observability resolves real-time issues without delay.