Schema versioning in MongoDB offers a flexible approach to managing evolving database schemas without incurring downtime, which is a common challenge in traditional tabular databases. This approach leverages MongoDB's ability to handle documents with diverse structures within the same collection, allowing for seamless schema evolution by adding a `schema_version` field to track changes. The schema versioning pattern is beneficial for situations where minimizing downtime is crucial and allows developers to decide when and how data migrations should occur, reducing future technical debt. A practical use case is presented where customer contact methods evolved from simple phone numbers to include social media handles, demonstrating the pattern's adaptability. The document highlights the advantages of combining schema versioning with other design patterns, enhancing performance and future-proofing applications. Additionally, a leadership transition at MongoDB is announced, with Dev Ittycheria stepping down as CEO to be succeeded by Chirantan “CJ” Desai, who brings a wealth of experience in scaling technology companies, aiming to lead MongoDB into its next growth phase.