HDFS
HDFS is a distributed file system for big data, designed for fault tolerance and high throughput on commodity hardware.
Score
30
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
--
Last Updated
Jun 11, 2026
Overview
What is HDFS?
The Hadoop Distributed File System (HDFS) is a distributed file system that stores large datasets across clusters of commodity hardware. It provides high fault tolerance and throughput, optimized for batch processing and streaming data access.
What is HDFS used for?
Top Features
- Distributed storage
- Fault tolerance
- High throughput
- Scalability
- Data replication
- Streaming data access
How to use HDFS?
Deploy HDFS on a cluster with a NameNode and DataNodes, use CLI or APIs to manage files, and run applications like MapReduce for data processing.
Alternative Tools
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Pros & Cons
Pros
- Handles large datasets
- Cost-effective on commodity hardware
- High availability
- Portable across platforms
Cons
- Not for low-latency interactive use
- Complex setup
- Single NameNode can be a bottleneck
Use Cases
- Big data processing
- Web crawling
- Data warehousing
- Batch analytics
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