Ozone is a scalable, redundant, and distributed object store for Hadoop. Apart from scaling to billions of objects of varying sizes, Ozone can function effectively in containerized environments such as Kubernetes and YARN.

Applications using frameworks like Apache Spark, YARN and Hive work natively without any modifications.

Ozone is built on a highly available, replicated block storage layer called Hadoop Distributed Data Store (HDDS).

Scalable

Ozone is designed to scale to tens of billions of files and blocks and, in the future, even more.

Consistent

Ozone is a strongly consistent object store. This consistency is achieved by using protocols like RAFT.

Cloud-native

Ozone is designed to work well in containerized environments like YARN and Kubernetes.

Secure

Ozone integrates with kerberos infrastructure for access control and supports TDE and on-wire encryption.

Multi-Protocol Support

Ozone supports different protocols like S3 and Hadoop File System APIs.

Highly Available

Ozone is a fully replicated system that is designed to survive multiple failures.