Sharding in OrientDB is a technique used to horizontally partition data across multiple nodes in a distributed environment. The goal of sharding is to distribute the dataset evenly across nodes to improve scalability, performance, and fault tolerance.
Each shard contains a subset of the dataset, and together, the shards form a distributed database cluster.
Here's how sharding works in OrientDB :
* Partitioning Data * Distributing Shards * Balancing Data * Handling Queries * Ensuring Fault Tolerance * Scaling Out
