Apache Hadoop HDFS
7.1#3 in data lake softwareFree planFree planAPILinuxSelf-hostedWindows
VisitApache Hadoop HDFS vs Apache Ozone
Apache Ozone
6.1#7 in data lake softwareFree planFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Apache Hadoop HDFS | Apache Ozone |
|---|---|---|
| Integrations | Hadoop 3.5.0 includes a FileSystem implementation for Google Cloud Storage, and its documentation also lists connectors for Amazon S3, Azure Blob Storage, and Azure Data Lake Storage. | The project lists Hive, Spark, Flink, Iceberg, Trino, Impala, Ranger, Knox, Kerberos, Prometheus, Grafana, Oozie, Hue, HBase, and DistCp as integrations. |
| Interfaces | Applications can use the Java FileSystem API, a C wrapper, WebHDFS REST, browser access or the NFS gateway. | Applications can access Ozone through its S3-compatible REST API, Hadoop-compatible filesystem interface, Java client API, and CLI. |
| License | Apache packages are generally distributed under the OSI-approved Apache License 2.0 unless a package states otherwise. | Apache Ozone is licensed under the Apache License, Version 2.0. |
| Purpose | HDFS is a distributed file system designed for high-throughput access to large application data sets on commodity hardware. | Apache Ozone is a scalable distributed object store designed for lakehouse workloads, AI/ML, and cloud-native applications. |
| Scale | HDFS is designed to scale to hundreds of nodes in a cluster and support tens of millions of files in one instance. | Ozone supports deployments up to billions of objects and exabytes of capacity. |
| Security | Production clusters are expected to use Kerberos for caller authentication and access control. | Ozone supports Kerberos authentication, ACLs, Ranger policy management, TLS/SSL in transit, and TDE at rest. |
| Support | The project asks users not to request private support from its non-paid volunteers and directs help requests to module mailing lists. | The Apache Software Foundation says it does not provide formal or commercial support for its software packages. |
Apache Hadoop HDFS plans
- Apache Hadoop HDFSFree
- Apache Hadoop / HDFS open-source distributionFree
Apache Ozone plans
- Apache OzoneFree
Pick Apache Hadoop HDFS if…
HDFS suits teams handling large application data sets that need distributed storage for batch or streaming workloads. It is less suited to interactive work requiring low latency or arbitrary in-place file updates.
Pick Apache Ozone if…
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.