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Apache Hadoop is an open-source data analytics tool for distributed storage and large datasets processing. Additionally, Apache Hadoop provides services for data access using a collection of utilities that enables a network of multiple computers. Apache Hadoop offers a solution that is intrinsically resilient to supporting significant computing clusters. You can learn more from Apache Hadoop documentation.

 

Key Features of Apache Hadoop includes:

 

Apache Hadoop offers a highly scalable platform and analyzes data at a petabyte level.

Data storage can be in any format and parsed when read. (Offering structured schemas, semi-structured and unstructured formats)

Failure of nodes in cluster rarely occurs. But if it does, the system automatically re-replicates the data and readdresses the residual data.

Interaction with other preferred data analytics platform is possible. The seamless process with data uses batch, interactive SQL, or low-latency access alongside NoSQL.

Open-source platform running on low-cost hardware makes it more reasonably priced solution.

 

Know more: Future of Hadoop 2020