Hadoop Vs Cassandra
Introduction to Hadoop •
An open-source Java based framework introduced by Apache
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Voluminous data gets processed usually named as Big Data
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Organizes the Structured and Unstructured Data
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Most preferable OS are Linux and Windows
Introduction to Cassandra •
A distributed NoSQL Database
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Manages large amount of data among the list of commodity servers
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Delivers high distribution and linear scale performance
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Doesn’t accept and store data in any format, but needs a certain structure
Importance of Hadoop and Cassandra in Organizations Hadoop is used by Innumerable businesses who opt to use it due to its extraordinary Data Management and lesser system failure errors.
Cassandra is used by businesses to handle their back-end systems or to study the server metrics of the users.
Benefits of Hadoop to Process Big Data
Saves and processes Big Data
Protects data strongly
Brings down Hardware failure Issues
Flexible
Economical to use
Widely accepted by Industries
Benefits of Cassandra to process modern Database Applications
Compresses Data faster
Computes Faster
Constant Availability
Linear Scalable Performance
Well tuned Data Consistency
Multi-data center availability
Companies Using Hadoop and Cassandra Hadoop Users
Cassandra Users
• Pivotal
• Walmart
• Cloudera
• Cisco’s WebEx
• IBM
• Dell