1.传统数据：
传统数据是结构化的数据，主要由非常小的组织到大型组织的所有类型的企业维护。在传统的数据库系统中，集中式数据库体系结构用于以固定格式或文件中的字段存储和维护数据。为了管理和访问数据，使用了结构化查询语言(SQL)。
2.大数据：
我们可以将大数据视为传统数据的上层版本。大数据处理的数据集太大或太复杂，这在传统的数据处理应用程序软件中很难管理。它处理大量的结构化，半结构化和非结构化数据。容量，速度和多样性，准确性和价值是指大数据的5’V特性。大数据不仅指大量数据，它还指通过分析大量复杂数据集来提取有意义的数据。
传统数据和大数据之间的区别：
| S.No. | TRADITIONAL DATA | BIG DATA |
|---|---|---|
| 01. | Traditional data is generated in enterprise level. | Big data is generated in outside and enterprise level. |
| 02. | Its volume ranges from Gigabytes to Terabytes. | Its volume ranges from Petabytes to Zettabytes or Exabytes. |
| 03. | Traditional database system deals with structured data. | Big data system deals with structured, semi structured and unstructured data. |
| 04. | Traditional data is generated per hour or per day or more. | But big data is generated more frequently mainly per seconds. |
| 05. | Traditional data source is centralized and it is managed in centralized form. | Big data source is distributed and it is managed in distributed form. |
| 06. | Data integration is very easy. | Data integration is very difficult. |
| 07. | Normal system configuration is capable to process traditional data. | High system configuration is required to process big data. |
| 08. | The size of the data is very small. | The size is more than the traditional data size. |
| 09. | Traditional data base tools are required to perform any data base operation. | Special kind of data base tools are required to perform any data base operation. |
| 10. | Normal functions can manipulate data. | Special kind of functions can manipulate data. |
| 11. | Its data model is strict schema based and it is static. | Its data model is flat schema based and it is dynamic. |
| 12.. | Traditional data is stable and inter relationship. | Big data is not stable and unknown relationship. |
| 13. | Traditional data is in manageable volume. | Big data is in huge volume which becomes unmanageable. |
| 14. | It is easy to manage and manipulate the data. | It is difficult to manage and manipulate the data. |
| 15. | Its data sources includes ERP transaction data, CRM transaction data, financial data, organizational data, web transaction data etc. | Its data sources includes social media, device data, sensor data, video, images, audio etc. |