Data Observability is an established category but the tools that fall under this category don't necessarily have the same capabilities or even solve the same problems.
There are infrastructure monitoring tools, pipeline monitoring tools, and tools to monitor the actual data that rests in a database/warehouse/lake. And then there are data testing tools and tools to understand data lineage.
In this episode of Data Beats, Kevin breaks down these differences between tool categories (e.g. Software Observability vs Data Observability), and includes how he'd think about evaluating data observability tool(s).
