Ceph vs Hadoop Distributed File System

Ceph is free, open-source distributed storage software for object, block, and file storage in one system. Organizations run clusters on commodity hardware that they choose and manage. Its RGW object storage supports the S3 API and Swift-compatible applications. RBD provides thin-provisioned disk images, snapshots, writable clones, and asynchronous mirroring to remote Ceph clusters. CephFS is a POSIX-compliant distributed filesystem with snapshots, quotas, and multi-cluster mirroring. The system can replicate data across devices, racks, and geographic locations, then redistribute it following hardware or connectivity failures. For Kubernetes, the project recommends Rook to run Ceph or connect an existing cluster; its CSI driver can provision block and file volumes. Installation choices include packages, container images, source clones, and tarballs. The cephadm tool requires Python 3, systemd, and Podman or Docker. Production guidance calls for at least three monitors, two managers, three OSDs, and 10 Gb/s networking between hosts. The project publishes a stable release annually and supports each series for approximately 24 months.

Hadoop Distributed File System (HDFS) is the primary distributed storage used by Hadoop applications. Its clusters use a NameNode to manage filesystem metadata and DataNodes to store data. HDFS is designed for fault tolerance on commodity hardware and high-throughput streaming access and batch processing, not low latency. It is tuned for files from gigabytes to terabytes, clusters with hundreds of nodes, and tens of millions of files in one instance. Administration includes shell-like commands, NameNode and DataNode web servers, fsck diagnostics, safemode, and a cluster balancer. Its permissions model shares much with POSIX and can optionally use POSIX ACLs; authentication supports simple operating-system identity or Kerberos. Configured encryption protects data at rest and in transit using encryption zones and the Hadoop Key Management Server. WebHDFS provides a REST API, and listed storage integrations include Amazon S3, Azure Blob Storage, Azure Data Lake Storage, and Tencent COS. HDFS is free to use under Apache License 2.0, with self-hosted cluster deployment.