For me, the question Why Hadoop? is not really a question. In the industry as of now, for big data Apache Hadoop is indispensable. There are alternatives, but most of them work in conjunction with Hadoop. Listed here are some of the prominent reasons why Hadoop is technology of choice for the technical capability that we are looking for in a Data Lake implementation:

• It can handle high volumes of structured, semi-structured, and unstructured data with ease.
• It is less costly to implement as it can start off using commodity hardware and scale according to organization all requirement.
• It has the ever growing Apache community to support it with frequent releases, releasing bug fixes and enhancements alike. Hadoop, as you know, has two core layers, namely the compute and data (HDFS) layers. The compute layer adds new frameworks and libraries, such as Pig and Hive, on top of the Hadoop ecosystem, making Hadoop all the more relevant for many use cases.
• The library of Hadoop itself is built with availability in mind and is not reliant on underlying hardware to do this capability. This is quite useful for organizations starting to build a Hadoop-based data lake from commodity hardwares as a start.
• It's flexible to handle a wide variety of data, and this is because of Hadoop’s inherent schema-less capability of handling data.
• Recently, with the ever-growing Hadoop ecosystem, Hadoop is becoming more real-time as against its conventional batch data operation.
• Hadoop is inherently cloud capable, so hosting a full-fledged Hadoop in cloud is simple to implement and more cost-effective for organizations taking baby steps in the direction of big data and Data Lake.
• It has built-in robust and fault-tolerance.
• It has a very good compute layer, making it ideal for intensive computations required for deriving meaningful analytic requirements.
• It has a high speed of execution. It can handle complex computational logic quite easily.
• It runs on the majority of operating systems, such as Linux, Mac, Windows, and Solaris.