Base of difference | Cloud Computing | Hadoop |
Definition | When we say about Cloud Computing here we will discuss about data/application/software in Cloud Computing. Here we can store software/application/data in cloud server which are accessible through the internet which base on demand. | When we say about Hadoop it is a process of storing large volume data sets in a distributed HDFS computing environment which is across the clusters and the different data nodes. |
Data Storage | When we say about the data storage in Cloud Computing we can store large data remotely in cloud instead of storing locally. | Here Hadoop can process small data sets to petabytes of data in realtime. |
Uses | When we say about the Cloud Computing it reduces the cost of managing and maintaining IT systems. As they need not to worry about the purchasing expensive systems and equipement for the business. | Here in Hadoop business can apply Hadoop to analyze a variety of business problems such as product recommendation, fraud detection, and sentiment analysis. |
Quality Solution | When we say about the Quality in Cloud Computing it offers a reliable, secure and consistent QoS (Quality-of-service) management as decided in service level agreements. | When we say about the Quality of solutions in Hadoop as Hadoop HDFS provides appropriate response times and increased system availability. |
Results Presentation | Here Cloud management console provides a complete analysis of cloud usage as reports and graphs. | Here Hadoop database can be connected to many data reporting tools like Microstrategy, Tableau, data meter and Qlik. |
Analysis | Computing behavior like Performance, Scalability, Availability, & Security is analyzed. | When we say about the Hadoop here we have a large volumne of data is processed and analyzed using hadoop. |
Focus | When we say about the Cloud Computing it focus on system performance, Availability and Network Performance data security and Cost is focused on delivering Software as a service in the cloud.
| Here in Hadoop focuses on manipulating Large data sets with structured and unstructured data. |