Hadoop
Apache Hadoop is an open-source framework for distributed storage and processing of large data sets across computer clusters.
Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Jun 11, 2026
Overview
What is Hadoop?
Apache Hadoop is a software library that enables distributed processing of large data sets across clusters of computers using simple programming models. It scales from single servers to thousands of machines, handling failures at the application layer for high availability.
What is Hadoop used for?
Top Features
- Distributed file system (HDFS)
- Resource management (YARN)
- Parallel processing (MapReduce)
- Scalability and fault tolerance
- Open-source and modular
How to use Hadoop?
Download Hadoop, set up a cluster, and use modules like HDFS for storage, YARN for resource management, and MapReduce for data processing. It supports integration with tools like Spark and Hive for advanced analytics.
Alternative Tools
No alternative tools found
Pros & Cons
Pros
- Handles large-scale data efficiently
- Highly scalable and fault-tolerant
- Open-source with strong community support
- Integrates with many big data tools
Cons
- Complex setup and maintenance
- Steep learning curve for beginners
- Performance can be slower for real-time processing
Use Cases
- Big data analytics and processing
- Log and event data analysis
- Machine learning and data mining
- Enterprise data warehousing
Hadoop Pricing
Free Plan
No detailed pricing information available
User Reviews
3.0
out of 5
3.0
No reviews yet
Be the first to review this tool!