What is Scaling in OrientDB?
Scaling in OrientDB refers to the ability of the database to handle increasing amounts of data and traffic by adding additional resources. OrientDB supports both horizontal and vertical scaling. Horizontal scaling involves adding more machines or nodes to a cluster, which allows for better distribution of data and workload.
In contrast, vertical scaling involves increasing the resources on a single node, such as adding more RAM or CPU. OrientDB’s active-active clustering model allows for easy horizontal scaling and ensures that all nodes in the cluster are actively serving requests.
Additionally, OrientDB’s distributed architecture allows for distributed queries, which further improves scalability by enabling parallel processing of queries across multiple nodes in the cluster. Overall, scaling is an important feature of OrientDB that allows it to handle large and growing datasets with ease.
