1. Hadoop：
它是一个开源软件框架，用于在一组商用硬件上存储数据和运行应用程序。它具有大存储容量和高处理能力。它可以同时管理多个并发进程。它用于预测分析，数据挖掘和机器学习。它可以处理结构化和非结构化数据形式。与传统的RDBMS相比，它在存储，处理和管理数据方面更加灵活。与传统系统不同，Hadoop同时支持对同一数据进行多个分析过程。它非常灵活地支持可伸缩性。
2. Maria DB：
Maria DB是MySQL的增强版本，由MySQL的原始开发人员开发以增强功能。 Maria DB是开源软件。由于它的速度和强大的特性，它已在世界范围内使用。它由Maria DB企业于2009年开发。它是安全的，并且还具有内置数据库防火墙。它是一个具有SQL接口的关系数据库，我们可以从该接口访问数据。 Hadoop和MariaDB之间的区别：
| S.No. | Hadoop | MariaDB |
|---|---|---|
| 1. | Hadoop is an open-source software used for storing data and running applications or processes concurrently. | Maria DB is an enhanced version of MySQL. |
| 2. | In this, both structured and unstructured data is processed. | In this, mostly structured data is processed. |
| 3. | It is best suited for Big Data. | It is best suited for OLTP environment. |
| 4. | It is highly scalable. | It is less scalable than Hadoop. |
| 5. | Data normalization is not required in Hadoop. | Data normalization is required in it. |
| 6. | It stores huge volume of data. | It stores transformed and aggregated data. |
| 7. | It has some latency in response. | It has no latency in response. |
| 8. | The data schema of Hadoop is dynamic type. | It is free of data schema. |
| 9. | Low data integrity available. | Highly data integrity available. |
| 10. | Free of cost, as it is an open source software. | Cost is applicable for licensed software. |