Traditional data catalogs are being phased out due to their limitations in handling modern data infrastructure. The rapid growth of unstructured and semi-structured data, increased demand for real-time analytics, and the constant transformation of data as it travels through pipelines have rendered traditional data catalogs ineffective. Data discovery is emerging as a solution that automates metadata harvesting, updates metadata in real time, and provides relevant results for users' data searches. Acceldata's Data Observability platform offers powerful data discovery capabilities for the modern data stack by constantly scanning, profiling, and tagging data throughout its lifecycle using machine learning.