大数据：大数据基本上是指数据量大、数据集复杂。如此大量的数据可以是结构化、半结构化或非结构化的，传统的数据处理软件和数据库无法处理这些数据。对数据进行分析、操作、更改等各种操作，然后被公司用于智能决策。大数据是当今世界非常强大的资产。大数据还可以通过提供智能决策来解决业务问题。
数据仓库：数据仓库基本上是来自各种异构来源的数据的集合。它是商业智能系统的主要组成部分，其中完成数据的分析和管理，进一步用于改进决策。它涉及为分析提供数据的提取、加载和转换过程。数据仓库还用于对大量数据执行查询。它使用来自各种关系数据库和应用程序日志文件的数据。
下表列出了大数据和数据仓库之间的差异：
| S.No. | Big Data | Data Warehouse |
|---|---|---|
| 1. | Big data is the data which is in enormous form on which technologies can be applied. | Data warehouse is the collection of historical data from different operations in an enterprise. |
| 2. | Big data is a technology to store and manage large amount of data. | Data warehouse is an architecture used to organize the data. |
| 3. | It takes structured, non-structured or semi-structured data as an input. | It only takes structured data as an input. |
| 4. | Big data does processing by using distributed file system. | Data warehouse doesn’t use distributed file system for processing. |
| 5. | Big data doesn’t follow any SQL queries to fetch data from database. | In data warehouse we use SQL queries to fetch data from relational databases. |
| 6. | Apache Hadoop can be used to handle enormous amount of data. | Data warehouse cannot be used to handle enormous amount of data. |
| 7. | When new data is added, the changes in data are stored in the form of a file which is represented by a table. | When new data is added, the changes in data do not directly impact the data warehouse. |
| 8. | Big data doesn’t require efficient management techniques as compared to data warehouse. | Data warehouse requires more efficient management techniques as the data is collected from different departments of the enterprise. |