Elasticsearch is a distributed search and analytics engine that can scale horizontally. It works by partitioning data across multiple nodes, allowing it to scale as needed to handle large amounts of data.
For example, let’s say you have an Elasticsearch cluster with 10 nodes. As the amount of data in the cluster increases, you can add more nodes to the cluster to spread the load and increase the capacity of the cluster. As more nodes are added to the cluster, the data is automatically redistributed across the nodes to ensure that the cluster remains balanced and efficient. This allows the cluster to scale up as needed to handle larger amounts of data.