Integrating Ozone Storage With Other Systems

A key strength of Apache Ozone is its ability to serve as a unified storage platform accessible via multiple protocols. It functions both as a Hadoop Compatible File System (HCFS) through its ofs:// and o3fs:// interfaces, and as an S3-compatible object store via its S3 Gateway. This dual nature allows seamless integration with a wide range of big data processing frameworks, analytics engines, and data management tools.

This section provides guides for configuring various systems within the data ecosystem to leverage Ozone as their storage backend, taking advantage of its scalability, performance, and protocol flexibility.

Apache Hive

Configure Hive to read and write data in Ozone using HCFS semantics.

Apache Hue

Use Hue as a web interface to browse and manage Ozone data via HCFS or S3.

Apache Iceberg

Store Iceberg table data and metadata in Ozone for analytics workloads.

Apache Impala

Run interactive SQL queries on data stored in Ozone using HCFS.

Apache Oozie

Schedule and coordinate workflow jobs accessing data on Ozone.

Apache Spark

Process Ozone data with Spark applications using HCFS or S3A interfaces.

Trino

Use Trino (formerly PrestoSQL) to query data in Ozone via Hive or Iceberg catalogs.