
Apache Ozone
6.1#7 in data lake softwareFree planFree planWebAPILinuxSelf-hosted
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| Fact | Apache Ozone | HPCC Systems |
|---|---|---|
| Founded | 2019 | 2000 |
| Integrations | The project lists Hive, Spark, Flink, Iceberg, Trino, Impala, Ranger, Knox, Kerberos, Prometheus, Grafana, Oozie, Hue, HBase, and DistCp as integrations. | Official integrations include Spark, Kafka, Couchbase, Redis, Memcached, Pentaho, R, JDBC, Java APIs and Tableau data connectors. |
| License | Apache Ozone is licensed under the Apache License, Version 2.0. | The Community Edition is licensed under the Apache License 2.0. |
| Purpose | Apache Ozone is a scalable distributed object store designed for lakehouse workloads, AI/ML, and cloud-native applications. | HPCC Systems is an open-source, data-intensive supercomputing platform for enterprise big-data problems. |
| Scale | Ozone supports deployments up to billions of objects and exabytes of capacity. | Clusters can scale from two computers to more than a thousand commodity-hardware nodes. |
| Security | Ozone supports Kerberos authentication, ACLs, Ranger policy management, TLS/SSL in transit, and TDE at rest. | Cloud-native security features include end-to-end encryption, Linkerd or Istio service meshes, OAuth 2.0 with Azure AD support, and JWT. |
It suits teams building data lakes, lakehouse platforms, or large-scale storage for AI/ML, cloud-native, Hadoop, or Spark workloads. It is for organizations able to deploy and administer self-hosted storage.
HPCC Systems suits organizations building data lakes or processing large, mixed-schema datasets that can manage a self-hosted platform. It may also fit teams that need parallel processing, query interfaces, or ECL-accessible machine-learning algorithms.