PostgreSQL's introduction of the JSONB type in version 9.4 was celebrated for enabling the storage of JSON blobs without requiring constant re-parsing and offering indexing capabilities for complex predicates. This feature is particularly beneficial for startups and document store workflows, as it allows for future-proof schema designs. However, the use of JSONB to store entire tables can lead to significant performance issues due to the lack of statistics for fields within JSONB columns, resulting in inefficient query planning and execution. Additionally, the larger storage footprint of JSONB, due to repeated key-value pairs, can double disk space requirements compared to traditional schemas. While JSONB offers simplicity and flexibility, especially for datasets with many optional values, it is not always the optimal choice for datasets where fields frequently occur across rows. Careful consideration is needed to balance performance, storage, and the engineering effort required for managing explicit schemas.