Sharding is the solution to address scaling issues in MongoDB. Using sharding, developers can horizontally scale the database over multiple servers. The same dataset is divided over multiple servers. Each individual server calls the shard; it is an independent database. All shards together make the single logical database.
The following diagram shows you the sharding process:
Sharding solves the problem of high overload and large datasets. While inserting or reading data, the client or application needs to access only one shard and not all shards. Hence, this change will horizontally scale the throughput and overload. Consequently, the database can support more operations.
On the other hand, by dividing the whole database over different servers, it reduces the amount of data that each server should store. Hence, each shard holds only a specific part of the whole database. As a result, to store 1 TB database using sharding, you can have four different servers, each having...
