云计算：它是通过互联网按需交付服务器、数据库、网络、软件、分析、应用程序和计算能力等资源，以提高速度和灵活性以及规模经济。它有助于降低运营成本并且更加可靠。海量计算资源可以在几分钟甚至更短的时间内交付。
大数据分析：这是在大量不同数据、大数据中观察复杂模式和关系的过程，并使用该分析做出明智和有效的业务决策。分析大型数据集以得出有关它们的结论。
下表列出了云计算和大数据分析之间的差异：
| S.No. | Cloud Computing | Big Data Analytics |
|---|---|---|
| 1. | It is used to store large volume of data on remote server. | It processes large volume of data to draw patterns for decision making. |
| 2. | It is a computer paradigm/concept. | It is data analytics of varied and voluminous data. |
| 3. | It focuses on provisioning universal access of the services of an organisation. | It focuses on providing insights about data to govern better decision making. |
| 4. | Advantages include cost saving, reliability, centralized and on-demand. | Advantages include close to accurate and logical correlations for finer resolutions. |
| 5. | Various services are categorized into IaaS, PaaS and SaaS. | Various solutions include Hadoop, Ambari, Sqoop, MapReduce, Hive and Oozie. |
| 6. | It uses an extensive network of cloud servers over the Internet. | It is deployed either within the company’s data center or on the cloud. |
| 7. | It is required when swift deployment or scaling of applications while continuing centralized access. | It is required to analyze voluminous data and uses distributed framework with parallel computing. |
| 8. | It is a platform for accessing large data sets let alone the computation of it. | It is a process of cleaning, structuring and interpreting that data. |
| 9. | Stores data which is maintained by different service providers like AWS, Microsoft, Google, Dell, IBM etc. on remote servers. | Data is distributed among different computer systems and analysed by Cloudera, MapR, Apache etc. |