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Apache Hadoop (HDFS)

A framework for distributed processing of large data sets.

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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)

Big data storage and processing Data lakes ETL and data warehousing Log processing and analysis Machine learning

✅ 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

Cloud object storage (S3, ADLS, GCS) Modern data lake platforms (Databricks, Snowflake)

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

Self-hosted (Linux, Windows)

✅ Offline Mode Available

🔌 Integrations

Apache Spark Apache Hive Apache HBase The entire Hadoop ecosystem

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source and free to use

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