Difference Between Cloud Computing and Data Analytics Last Updated : 06 May, 2020 Comments Improve Suggest changes Like Article Like Report Cloud Computing: Cloud Computing is a technique in which a network of remote servers is hosted on the Internet. These servers primarily store the data, manage the data, and process the data. But this is not done by a local server or a personal computer. In short, data here is gathered on the internet. Thus, eliminating the use of a physical server. Cloud Computing doesn’t depend on data analytics for anything. Data Analytics: Data analysis is defined as a process where data is inspected, cleaned, transformed, and modeled. The primary aim of data analytics is to discover information that is useful. So that a conclusion is made which further helps in the decision-making process of a company. In data analytics, the data is measured and estimated from big data sources. Data storage is done on cloud and data analytics involves the extraction of data. Thus, data analytics depends on cloud computing for data extraction. Below is a table of differences between Cloud Computing and Data Analytics: S.No. Cloud Computing Data Analytics 1 Data storage and retrieval from whichever place at whatever time. A process where data is inspected, cleaned, transformed and modelled 2 Is independent of data analytics Is dependent on cloud computing. 3 Has solutions to data intensive computing and doesn’t focus on a particular organization. Works on the improvement of a particular organization 4 Involves SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service) Involves python, Sas, Apache Spark, etc. 5 Is further categorized as public cloud, private cloud, community cloud and hybrid cloud. Big Data Technology is Hadoop, MapReduce, and HDFS are important aspects 6 Cloud Computing providers are Google, Amazon Web Service, Microsoft, Dell, Apple, IBM. Data Analytics providers are Cloudera, Hortonworks, Apache and MapR. 7 Less Costly Costlier 8 Roles related to cloud computing are cloud resource administrator, cloud service provider, cloud consumer, cloud auditor, etc Roles related to data analytics are data developer, data administrator, data analyst, data scientist, etc. Comment More infoAdvertise with us Next Article Difference between Big Data and Cloud Computing C charvisaxena Follow Improve Article Tags : Difference Between Cloud Computing Cloud-Computing Data Analytics Similar Reads Difference between Cloud Computing and Big Data Analytics Cloud Computing: It is an on-demand delivery of resources like servers, databases, networking, software, analytics, applications and computational power over the Internet to promote speed and flexibility as well as the economy of scale. It helps in lowering operational costs and is much more reliabl 2 min read Difference between Big Data and Cloud Computing 1. Big Data : Big data refers to the data which is huge in size and also increasing rapidly with respect to time. Big data includes structured data, unstructured data as well as semi-structured data. Big data can not be stored and processed in traditional data management tools it needs specialized b 4 min read Difference between Big Data and Data Analytics 1. Big Data: Big data refers to the large volume of data and also the data is increasing with a rapid speed with respect to time. It includes structured and unstructured and semi-structured data which is so large and complex and it cant not be managed by any traditional data management tool. Special 4 min read Difference Between Cloud Computing and Hadoop Building infrastructure for cloud computing accounts for almost one-third of all IT spending worldwide. Cloud computing is playing a major role in the IT sector, however, on the other hand, organizations started using Hadoop on a large scale nowadays for storing and performing actions on the increas 3 min read Difference Between Cloud Computing and Hadoop Building infrastructure for cloud computing accounts for almost one-third of all IT spending worldwide. Cloud computing is playing a major role in the IT sector, however, on the other hand, organizations started using Hadoop on a large scale nowadays for storing and performing actions on the increas 3 min read Difference Between Data Science and Business Analytics Data Science: It is the complex study of the large amounts of data in a company or organizations repository. This study includes where the data has originated from, the actual study of its content matter, and how this data can be useful for the growth of the company in the future. The data related t 3 min read Like