Cloud Computing simply means storing, harnessing data, and deploying programs. This makes the use of the communication network. As we all know cloud computing has established its major role in the IT sector. On the other hand, data generated daily is very large and for harnessing large chunks of data, Hadoop is used. In this article, we will discuss the main difference between Cloud computing and Hadoop.
What is Cloud Computing?
Cloud computing means to deliver services that are hosted over the internet. This is deployed for saving the hardware costs. Moreover, it is secured with novel technologies. Cloud computing services divide into three categories IaaS(Infrastructure as a service), PaaS(Platform as a service), and SaaS(Software as a service).
Role of Cloud Computing
- Saves the cost of hardware
- Quite secured
- Reduced Network latency
Types of Clouds
- Public Cloud– It is operated by 3rd party cloud providers
- Private Cloud– Deployed for a single organization for fulfilling their business requirements.
- Hybrid Cloud- It is the combination of public and private clouds.
What is Hadoop?
Hadoop is called Apache Hadoop. It is deployed for solving problems related to huge chunks of data. Apache Hadoop allows the usage of a simple model of programming that is deployed for distributed processing. In Hadoop Distributed File System (HDFS) each file is distributed into blocks of equal size, replicated thrice, and stored randomly in Data Nodes.
Modules of Hadoop
Apache Hadoop composes of the following modules:-
- Hadoop Common– It contains libraries as well as utilities that support other Hadoop modules;
- Hadoop Distributed File System (HDFS)– It is a distributed file-system that is used to store data on commodity machines. It is used to provide very high aggregate bandwidth across the cluster;
- Hadoop YARN– Hadoop YARN is a platform that is responsible for managing computing resources in clusters. This is used for scheduling users’ applications.
- Hadoop MapReduce– Hadoop MapReduce is an implementation of the MapReduce programming model for large-scale data processing.
Difference between Cloud Computing and Hadoop
Data is stored on cloud servers situated at different locations.
Large data is processed and stored as volumes of data in an HDFS environment.
Constitutes complex computer concepts, involves a large number of computers which are connected in real-time.
Hadoop is not complex. It is a framework with simple programming models to process data.
Public Cloud, Private Cloud and Hybrid Cloud
HDFS, Hive, MapReduce and YARN
Requires low maintenance, backup, and recovery of data is available.
Need more maintenance when compared and difficult to retrieve lost data.
|Service provider||The Internet is used to provide cloud-based services.||Distributed computing is used for processing the data.|
|Service type||On-demand services are provided by cloud platforms.||Different formats of data are being processed and analyzed.|
|Analysis Factors||Computing behavior like Performance, scalability are analyzed.||Processed data will be analyzed and stored.|
|Focus||Cloud computing emphases on system performance.||Its focus is on manipulating large datasets.|
Summary of the difference between Cloud Computing and Hadoop
- In Cloud computing software’s and applications installed in the cloud and that is accessible via the internet on the other hand, Hadoop is a Java-based framework deployed for manipulating the data in the cloud or on-premises.
- Hadoop can be installed on cloud servers for managing Big data whereas cloud alone cannot manage data without Hadoop in It.
- Cloud computing is the on-demand service offered but on the other hand, Hadoop is an open-source software project designed to manipulate Data
- Cloud provides high speed in terms of accessing data but in Hadoop it all depends on CPU and also installed system processor speed.
In this article, we have discussed the difference between Cloud Computing and Hadoop. If you are having any doubt, ask me freely in the comment