Firestore, a NoSQL database, doesn’t enforce schemas but changes can still be challenging. One strategy is to use versioned collections or documents where each schema change corresponds to a new version. This allows for backward compatibility as older versions are maintained. Another approach involves using cloud functions to update all documents in the background when a schema change occurs. However, this could lead to high costs if not managed properly due to Firestore’s pay-per-read/write model. A third strategy is to handle schema changes client-side by writing code that can deal with multiple schema versions. This requires careful planning and testing to ensure data consistency.
