Apache Ozone vs Oracle Big Data Service

Apache Ozone is a free, self-hosted distributed object store for data lakes, lakehouse workloads, AI/ML, cloud-native applications, and Hadoop or Spark storage. It supports deployments reaching billions of objects and exabytes of capacity, with configurable replication or erasure coding for each bucket or object. Applications can connect through an S3-compatible REST API, a Hadoop-compatible filesystem interface, a Java client API, or command-line tools. Ozone provides strong consistency: reads reflect the latest successfully completed writes. Security options include Kerberos authentication, ACLs, Ranger policy management, TLS/SSL in transit, and TDE at rest. Administrators can set volume and bucket quotas, create read-only point-in-time bucket snapshots, and use the Recon web UI or CLI tools. Listed integrations include Hive, Spark, Flink, Iceberg, Trino, Impala, Ranger, Knox, Kerberos, Prometheus, Grafana, Oozie, Hue, HBase, and DistCp. Deployment guides cover Docker, Kubernetes, and bare metal. The software is licensed under Apache License 2.0; the Apache Software Foundation says it does not provide formal or commercial support.

Oracle Big Data Service is a managed cloud service for creating Hadoop-based data lakes that process large amounts of data. Its distribution includes Apache Hadoop, Ambari, HBase, Hive, Spark, and other services. Customers can build clusters with OCI compute shapes, from small development environments to large production clusters on dedicated hardware, and choose NVMe or block storage. Clusters can be resized; secure, high-availability clusters are an option. Oracle Cloud SQL queries data across Hadoop, Kafka, NoSQL, and object stores using Oracle SQL. The service also describes SparkR for working with HDFS, Spark DataFrames, and JDBC sources and building models in R. Access is available through the OCI Console, CLI, REST APIs, and SDKs. Block Volume data is encrypted at rest by default, and OCI IAM controls authentication and authorization. Oracle describes both short-lived clusters for specific tasks and long-running data lakes. The listed service fee is 0.02 USD per OCPU per hour; compute and storage charges apply separately. Oracle lists separate hourly rates for compute shapes and Cloud SQL. Clusters need release updates to remain current and supported.