Difference Between Big Data and Cloud Computing
Big Data and Cloud Computing are some of the important leading technologies which are used in today’s scenario. With the help of these technologies, business, education, research, healthcare, and development, etc. are leading rapidly and will offer different advantages to enhance their areas with tricks and techniques. So, in the Big Data Vs. Cloud computing, we will study about the difference between Big data and Cloud computing.
What is Big Data
Big Data is defined as a set of large data (structured or unstructured) that is used to collect information from it.
In Big Data, there is a large amount of data produced by the companies in every second which needs to be processed so, big data will gather, store and organize data, which will be further analyzed by the data analysts.
In other terms, we can say that Big data is the huge amount of data, which can process valuable information.
What is Cloud Computing
Cloud computing offers a virtual environment in which the information is gathered via the internet. This reduces the use of a physical server like most of the data can be stored in cloud separately in the cloud with the help of virtualization. The cloud also provides platforms that are used to share a computer competency for running programs.
Big Data vs Cloud Computing
- Concept: - In cloud computing, we can fetch and store the data from anywhere at any time, means it is available 24/7.
However, Big data is the huge amount of data that will process to extract the important information.
- Characteristics: - Cloud computing offers service over the internet, which can be:
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
Whereas the important characteristics of Big Data are Velocity, Variety, Volume.
- Accessibility: - Cloud computing offers universal access to services.
However, big data solves technical problems and offers better results.
- When to use: - A customer can move to cloud computing when they require rapid deployment and scaling of the applications. The application deals with highly sensitive data and needs strict consent; one should keep things on the cloud.
Big data solve specific problem statement, which is related to huge data sets and does not deal with small data sets.
- Cost: - Cloud computing requires less maintenance cost due to the centralized platform no upfront cost and disaster safe implementation.
However, Big Data is a robust ecosystem, highly scalable, and cost-effective.
- Job roles and responsibility: - The developers and office workers in an organization are the users of the cloud. Whereas, in Big data, the data analyst is responsible for analyzing the data and possible future trends
- Types and trends: - Cloud computing are of many types:
- Public cloud
- Private cloud
- Hybrid cloud
- Community cloud
Trends in Big Data technology are Hadoop, HDFS, and MapReduce.
- Vendors: - Cloud computing vendors are:
- Amazon web service
However, Big data Vendors are:
Big Data vs Cloud Computing: Comparison Chart
|Big data offers a way to manage a large volume of data and generates insights.
|Cloud computing offers resources like storage, computing, databases, monitoring tools, etc. on demand
|Big Data is used to describe a large set of data and information.
|Cloud computing is used to store data and information on remote servers.
|It includes all types of data that are in different formats.
|It is a new paradigm for computing resources.
|Big data is used to define a large volume of data.
|Cloud computing is used to store data on remote servers.
|Big data refers to data, which can be structured, semi-structured, or unstructured.
|Cloud computing refers to internet service from SaaS, PaaS, and IaaS.