These are the main differences:
Storage: storage of Big data is very difficult because it is usually in structured and unstructured form. On the other hand, Apache Hadoop HDFS can be utilized to store Big data.
Type: Big data can be understood to be a problem that doesn’t have any value unless it proceeds. Hadoop is the solution that solves this problem.
Developers: developers of Big data are responsible for developing applications like Spark, Hive, etc. Hadoop developers perform coding that is used for processing the data.