Alternatives to Hadoop Distributed Filesystem (HDFS)
HDFS is a distributed file system designed to store large datasets reliably and provide high-throughput access to application data. It's the storage foundation of the Apache Hadoop ecosystem. Find open source and proprietary alternatives that serve similar purposes.
Self-hosted alternatives to Hadoop Distributed Filesystem (HDFS)
Open source projects that can replace Hadoop Distributed Filesystem (HDFS):
Ceph
Ceph is a highly scalable, software-defined storage platform that provides object, block, and file storage capabilities in a single unified system. It's designed to be self-healing and self-managing, with no single point of failure.
Key Features
-
Storage Types:
- RADOS object storage
- RBD block storage
- CephFS file system
- S3/Swift compatibility
- NFS/SMB gateways
- iSCSI target support
-
Scalability & Performance:
- Horizontal scaling
- Automatic data rebalancing
- No single point of failure
- Multi-site replication
- Erasure coding
- BlueStore storage backend
-
Management & Monitoring:
- Built-in monitoring
- Self-healing capabilities
- Automated recovery
- Comprehensive metrics
- Dashboard interface
- CLI tools
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Enterprise Features:
- Data encryption
- Access control
- Audit logging
- Snapshot support
- Disaster recovery
- Multi-tenancy
GlusterFS
GlusterFS is a powerful software-defined distributed storage platform that eliminates hardware and vendor lock-in while providing massive scalability and high availability. It's designed to handle diverse workloads from small office environments to enterprise data centers.
Key Features
-
Unified Storage Platform:
- POSIX-compliant file system
- Object storage interface
- Block storage support
- NFS and SMB protocols
- Standard file system APIs
- Cross-platform compatibility
-
Massive Scalability:
- Scale to petabytes
- Horizontal scaling
- Elastic expansion
- No metadata servers
- Linear performance growth
- Thousands of clients
-
High Availability:
- No single point of failure
- Automatic failover
- Self-healing capabilities
- Data replication
- Geo-replication
- Rolling upgrades
-
Enterprise Features:
- Volume snapshots
- Quota management
- Access control
- Monitoring and alerting
- Professional support
- Backup integration
Lustre
Lustre is the world's most widely-used parallel file system for high-performance computing, powering many of the world's largest supercomputers. It's designed to deliver the extreme performance and scale required for scientific computing workloads.
Key Features
-
Extreme Performance:
- Parallel I/O architecture
- Aggregate bandwidth scaling
- Sub-millisecond latency
- Concurrent client access
- Optimized for large files
- High-speed interconnects
-
Massive Scalability:
- Thousands of compute nodes
- Petabytes of storage
- Linear performance scaling
- Multiple metadata servers
- Distributed namespace
- Global file system view
-
HPC Optimized:
- POSIX-compliant interface
- MPI-IO optimization
- Scientific application support
- Batch scheduler integration
- Checkpoint/restart support
- Performance profiling
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Enterprise Reliability:
- High availability design
- Automatic failover
- Data integrity protection
- Professional support
- Disaster recovery
- Monitoring and alerting
More distributed-storage projects
Discover other open source projects in the distributed-storage category:
Showing 1-7 of 7 projects in distributed-storage