Features of Hadoop frameworks

Some important features of Hadoop platforms are summarized as follows:

• Storage power: Hadoop has high storage and processing power with respect to high data volumes and varieties constantly increasing, especially from social media and the internet of things (IoT).
• Computing power: Hadoop's distributed computing model processes big data very quickly, as compared to other frameworks. The more computing nodes one uses, the more processing power one has.
• Fault tolerance: Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes, to make sure that the distributed computing does not fail. In addition to that, multiple copies of all of the data are stored automatically, for backup.
• Flexibility: Unlike in traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want, and decide how to use it later. That includes unstructured data, such as text, images, videos, and more.
• Low cost: The open source framework is free and uses commodity hardware to store large quantities of data.
• Scalability: You can easily grow your system to handle more data, simply by adding nodes. It requires a little administration, but it is worth the effort.