Sharding
MongoDB supports horizontal scaling through sharding. Sharding involves the distribution of data across numerous processes and plays an essential role in managing and organizing large-scale data. This method divides a larger database into smaller, more manageable components known as shards. Each shard is stored on a separate database server instance, which distributes the load and offers an effective approach to data management. Moreover, this technique allows for the creation of distributed databases to support geographically distributed applications, enabling policies that enforce data residency within specific regions.
Why do you need sharding?
Consider a scenario where your data is expanding swiftly and your database is approaching its maximum capacity. This circumstance could manifest a multitude of challenges. Typically, the most pressing problem is performance deterioration. As your database grows, the time required to query and retrieve data can increase significantly...
