| Base of Difference | Hadoop | Cloud Computing |
| Basic definition | When we say about Hadoop its a Java based framework which is mainly used to manipulate data in cloud or on given premises. | When we say about Cloud Computing where all the things are on Cloud and applications and software are installed on cloud which is acceible through the internet |
| Manage | Hadoop is installed on cloud server to manage Big Data. | On the other hand Cloud cannot handle data without Hadoop on it. |
| Support | Hadoop package mainly consists of distributed database system function inside a file system which supports unstructured data and storing a large amount of data with high processing rates depending on processor speed. | On the other hand Cloud Computing is one of the distributed comptuing service where IT infrastructures are accessible based on network speed. |
| Main Function | Hadoop is an open source software projects which is mainly used to manipulate data. | And on other hand Cloud Computing is mainly the on-demand services which offer to manage data and its different suppoting applications. |
| Components | Hadoop has many of available components which can be added to deal big data. | In Cloud Computing model we have all Hadoop and its components and application which support the Hadoop ecosystem and managed. |
| Installed | As we knows Hadoop is build on Java framework which we can install either locally or on cloud data centers. | On another hand Cloud Computing is like a computer on a cloud where all Java and Hadoop are installed. |
| Speed | Speed of Hadoop depends upon the CPU and system processor speed of the system. | On cloud accessing application is fast with high-speed private network but data depends on Hadoop speed. |
| Data Back Service | Once Hadoop is intalled on Cloud then Cloud services will take care of master data back as its customer services and its paid for the security purpose. | This offer data back services for all applications metadata and real time data. |
| Implementation and Service | Uuse of Hadoop or install Hadoop in cloud computing or in-home premises Hadoop and Big data need some skills and Hadoop data science services provide Business insights, Analysis data and etc which will return more income to the organization. | When we say about installation of cloud service is easy and no need of much installation knowledge and that too cloud service providers have highly skilled labour to maintain and provide support with services offering with a low budget, so ROI will be more for the organizations. |
| Multitasking | Hadoop has a multitasking feature in it where its capable of processing large datasets parallelly using a method called parallel data processing. | In cloud different users can use different applications or cloud services at some point in time at any given rate of time via the internet remotely. |
| Security | As clous same security features implies in Hadoop where it has fault tolerant feature where data is processed in one node and data is replicated in another note in the cluster. So, when a failure occurs in the one node copy of data is available in another node. | Cloud computing security features will provide disaster backup facility where cloud computing servers are remotely managed with high security and protection |
| Data Volume | Hadoop can process small data sets to petabytes of data in Realtime. | Business users can store their large data remotely in the cloud instead of storing locally. |
| Analysis | Big data with a large volume of data is processed and analyzed using Hadoop. | Computing behavior like Performance, Scalability, Availability, & Security is analyzed. |
| Main Focus | Hadoop focuses on manipulating Large data sets with structured and unstructured data.
| Cloud computing focus on System Performance, Network Performance data security, and Availability. Cost is focused on delivering Software as a service in the cloud. |