Apache Ozone vs Azure Table Storage

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.

Azure Table Storage has no write-up on Specifiction yet; its figures are above.