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Apache Hadoop

Brand: apache

4.0

4 Ratings

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Apache Hadoop allows large datasets to be stored and processed across distributed clusters of computers efficiently. ...Read more

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Features

  • check_icon Block Management
  • check_icon Replication Control
  • check_icon MapReduce Processing
  • check_icon Data Locality
  • check_icon Resource Management
  • See all img

Apache Hadoop Pricing, Features & Reviews

What is Apache Hadoop?

Apache Hadoop is a big data tool that allows organizations to store and process very large amounts of data across many computers working together as a cluster.

It uses the Hadoop Distributed File System (HDFS) to break big data into smaller parts, store them on multiple machines, and keep copies so the system keeps running even if some computers fail.

For processing, Hadoop uses MapReduce, which splits work into smaller tasks, runs them in parallel, and then combines the results. Another key part is YARN, which manages resources and schedules jobs efficiently across the cluster.

Hadoop is highly scalable, meaning you can start with a few machines and expand to thousands as your data grows. Its fault-tolerant design ensures that even when hardware fails, the system continues working smoothly.

Why Choose Apache Hadoop Software?

  • Open Source: Free to use and modify, making it a cost-effective big data solution.
  • Scalability: Can scale from a single server to thousands of machines easily.
  • Distributed Storage: HDFS stores data across multiple nodes for reliability.
  • Fault Tolerance: Automatically replicates data and handles node failures.
  • Cost-Effective: Runs on commodity hardware, reducing infrastructure costs.
  • High Throughput: Optimized for large-scale data processing with fast read/write.
  • Flexible Data Handling: Supports structured, semi-structured, and unstructured data.
  • Parallel Processing: MapReduce processes massive datasets in parallel across clusters.
  • Large Ecosystem: Includes Hive, Pig, HBase, and Spark for added functionality.
  • Data Locality: Processes data near its storage, reducing network bottlenecks.
  • Reliable Analytics: Provides a stable platform for data-driven decision-making.

Benefits of Apache Hadoop Software

  • Customizable: Highly configurable to meet specific business requirements.
  • Strong Community Support: Large open-source community ensures continuous improvement.
  • Secure Data Processing: Supports Kerberos, encryption, and access controls.
  • Integration Capabilities: Easily integrates with other tools, databases, and cloud platforms.
  • Real-Time Processing Support: Supports near real-time analytics with Storm and Spark.
  • Reliable Resource Management: YARN efficiently manages cluster resources.
  • Proven Technology: Trusted by top companies like Facebook, Yahoo, and Amazon.
  • Data Compression: Reduces storage costs and improves processing speed.
  • Future-Proof: Continuously evolves with new tools and frameworks for big data.

Apache Hadoop Pricing

Apache Hadoop price is available for FREE at techjockey.

The pricing model is based on different parameters, including extra features, deployment type, and the total number of users. For further queries related to the product, you can contact our product team and learn more about the pricing and offers.

Apache Hadoop Pricing & Plans

Apache Hadoop price is available on request

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Apache Hadoop Features

  • icon_check Block Management Files split into fixed-size blocks, replicated across nodes for fault tolerance and distributed storage.
  • icon_check Replication Control HDFS automatically replicates blocks, ensuring data availability even after node or disk failures.
  • icon_check MapReduce Processing A parallel computation framework that divides workloads into map and reduce tasks across nodes.
  • icon_check Data Locality Moves computation close to stored data, minimizing network I/O and optimizing cluster performance.
  • icon_check Resource Management Centralized resource manager schedules and allocates cluster resources dynamically.
  • icon_check Fault Tolerance Maintains service reliability by replicating data blocks and reassigning failed tasks to healthy nodes.
  • icon_check Streaming Data Access Optimized for batch streaming read-write operations instead of random or low-latency requests.
  • icon_check Web Based Monitoring Built-in web interfaces for NameNode and DataNode provide cluster and storage insights.
  • icon_check Third Party Integration Integrates with Kerberos protocol to secure communication and authenticate Hadoop services.
  • icon_check Secondary NameNode Periodically merges namespace edits with fsimage, helping manage metadata efficiently.
  • icon_check Erasure Coding Hadoop 3 feature that improves storage efficiency while maintaining fault tolerance using coding.
  • icon_check Application Master Manages lifecycle of each application in YARN, handling execution and task progress reporting.

Apache Hadoop Specifications

  • Supported Platforms :
  • Device:
  • Deployment :
  • Suitable For :
  • Business Specific:
  • Business Size:
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  • Training:
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  • Windows MacOS Linux
  • Desktop
  • Perpetual
  • All Industries
  • All Businesses
  • Individual, Small Business, Startups, Medium Business, Enterprises, SMBs, SMEs, MSMBs, MSMEs, Freelancers
  • Email, Communities
  • Videos
  • English

Apache Hadoop Reviews and Ratings

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Apache Hadoop FAQ

A Apache Hadoop is available for FREE at techjockey.
A No, Hadoop does not have a dedicated mobile app.
A Hadoop runs on Linux, Windows, and macOS.
A Hadoop is completely free and open-source.
A Apache Hadoop stores and processes large datasets across distributed clusters using HDFS and MapReduce.
A Apache Hadoop is used by enterprises, research organizations, and tech giants like Facebook and Amazon.
A Yes, Apache Hadoop free demo is available.
A Yes, Hadoop is fully open-source and free to download.

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