Apache Hadoop (HDFS)
A framework for distributed processing of large data sets.
Overview
Apache Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. The Hadoop Distributed File System (HDFS) is the storage component of Hadoop.
✨ Key Features
- Distributed file system (HDFS)
- MapReduce for parallel processing
- Scalability to petabytes of data
- Fault tolerance and high availability
- Rich ecosystem of related projects
🎯 Key Differentiators
- Mature and proven open-source platform
- Rich ecosystem of tools and projects
- Control over the entire data stack
Unique Value: Provides a powerful and flexible open-source framework for distributed storage and processing of large datasets, with a vast ecosystem of tools.
🎯 Use Cases (5)
✅ Best For
- Building a foundational data platform for large-scale data processing.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Low-latency data access and real-time analytics.
🏆 Alternatives
Offers more control and flexibility than managed cloud services, but requires more operational overhead. It is the foundation upon which many modern data platforms were built.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Open source and free to use
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