Hadoop is an open source programming framework based on Java which supports the processing and storage of large volumes of data sets in a distributed computing environment. Hadoop is a part of Apache project, which is sponsored by Apache Software Foundation.

It makes it possible to handle thousands of terabytes of data, and to run applications on systems with thousands of commodity hardware nodes. Hadoop has a distributed file system which allows faster transfer of data amongst nodes. It also allows systems to continue operating even if a node stops working.

This reduces the risks of a system failure and unforeseen data loss, even if a significant number of nodes stop operating. Therefore, Hadoop has emerged as a foundation for processing big data tasks like scientific analysis, processing large volumes of sensor data and business and sales planning.

Cloud computing

In simplest terms, it means storing and accessing your data, programs, and files over the internet rather than your PC’s hard drive. Basically, the cloud is another name for the internet.

Cloud computing has several attractive benefits for end users and businesses. The primary benefits of cloud computing includes:

  • Elasticity – with cloud computing, businesses only use the resources they require. Organizations can increase their usage as computing needs increase and reduce their usage as the computing needs decrease. This eliminates the need for investing heavily in IT infrastructures which may or may not be used.
  • Self-service provisioning – users can always use the resources for almost any type of workload on demand. This eliminates the need for IT admins to provide and manage computer resources.
  • Pay-per-use – compute resources are measures depending on the usage level. This means that users are only charged for the cloud resources they use.

Cloud computing deployment models

Cloud computing services can be deployed in three models, that is, public, private and hybrid.

  • Public clouds – Services are usually provided by a third party over the internet. In public clouds, services are sold on demand, mostly by the minute or per hour. Clients pay only for the bandwidth, storage or CPU cycles they use.
  • Private clouds – This model allows data to be delivered from a business’ data center to internal users. Private clouds are very flexible and convenient, and they preserve the management, control, and security of the data centers.
  • Hybrid cloud – This is the combination of both public and private clouds, which involves automation and orchestration between the two models. In hybrid clouds, organizations can run critical operations or sensitive applications on the private cloud and use the public cloud for general workloads.

The differences between Hadoop and Cloud Computing

  1. Hadoop is a framework which uses simple programming models to process large data sets across clusters of computers. It is designed to scale up from single servers to thousands of machines, which offer local computation and storage individually. Cloud computing, on the other hand, constitutes various computing concepts, which involve a large number of computers which are usually connected through a real-time communication network.
  2. Cloud computing focuses on on-demand, scalable and adaptable service models. Hadoop on the other hand all about extracting value out of volume, variety, and velocity.
  3. In cloud computing, Cloud MapReduce is a substitute implementation of MapReduce. The main difference between cloud MapReduce and Hadoop is that Cloud MapReduce doesn’t provide its own implementation; rather, it relies on the infrastructure offered by different cloud services providers.
  4. Hadoop is an ‘ecosystem’ of open source software projects which allow cheap computing which is well distributed on industry-standard hardware. On the other hand, cloud computing is a model where processing and storage resources can be accessed from any location via the internet.
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