How is the data storage in Big Data different from the data storage in RDBMS like Oracle, MySQL and other?

Data in Relational Databases will be stored in Tables format with Primary keys and other constraints? How it will differ in storing data in Big Data which can be stored in distributed systems. "I have heard that in Big Data the data will be stored using API's ?" What kind of structure the data will be stored? Is it true it will use Blocks as the Data structure ?
Answer:

In Hadoop, the raw data is stored in the HDFS which is a distributed filesystem. Hadoop data has no inherent structure. The data is managed by some of the nodes in the cluster. The actual data is spread across different files in different servers, with redundant copies. The API mentioned is likely the Java API used to access HDFS, since the user-level program uses a library to talk to the HDFS nodes and retrieve the data. The filesystem is not a kernel-level filesystem like ext4. In contrast, high end databases like Oracle use their own filesystem to optimize their data storage for RDBMS. MySQL uses the regular filesystem. In both cases the data is organized to support structured data.

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Other answers

Usually big data systems are optimized for read operations and seldom take care of the transactional properties. This is because the purpose of the rdbms is very different than the big data systems...

Madhu Eadara

Like any other file system, big data (hadoop) also has file system called HDFS. And, file system is for managing storage and retrival of files ONLY. Where as RDBMS are made to manage relational data (in rows and column, and various other features...). And RDBMS(Ora, MySQL etc) itself use the underlying file system of operating system.

Shriram Soni

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