I am new to Hadoop as well as NoSQL. I am very much confused about HDFS & HBase. Can anyone help me figure out the differences between the HBase and Hadoop?

HDFS is a Java based distributed file system that allows you to store large data across multiple nodes in a Hadoop cluster. Whereas HBase is a NoSQL database (similar as NTFS and MySQL).As Both HDFS and HBase stores all kind of data such as structured, semi-structured and unstructured in a distributed environment. You can get a better understanding with the Azure Data Engineer certification.Differences between HDFS & HBaseHBase provides low latency access to small amounts of data within large data sets while HDFS provides high latency operations.HBase supports random read and writes while HDFS supports WORM (Write once Read Many or Multiple times).HDFS is basically or primarily accessed through MapReduce jobs while HBase is accessed through shell commands, Java API, REST, Avro or Thrift API.HDFS stores large data sets in a distributed environment and leverages batch processing on that data. While HBase stores data in a column oriented manner where each column is stored together so that, reading becomes faster leveraging real time processing.

Hadoop is a set of components/tools. HBase is a part of hadoop eco-system

Hadoop is a composition of different tools/frameworks used for Big data. It consists of Hive, Pig, Sqoop etc. HBase is also a component of Hadoop and it is database.

Hadoop is an open source software which is used for Big Data storage, computation and other Big Data related tasks. It is a collection of tools where each tool or a combination of these tools is used to solve the task related to storing, retrieving or computing big data. HBase is a non-relational database used to store and retrieve distributed data on Hadoop. HBase is one of the most used database for Big data. HBase is also a part of Hadoop ecosystem.

Hadoop and HBase are both used to store a massive amount of data. But the difference is that in Hadoop Distributed File System (HDFS) data is stored is a distributed manner across different nodes on that network. Whereas, HBase is a database that stores data in the form of columns and rows in a Table.

Hadoop is a software collection that is mainly used by people or companies who deal with Big Data. Hadoop is used to handle big data and is responsible for efficient storage and fast computation. One of the main concept of Hadoop is MapReduce (Mapping+Reducing) which is used to distribute the data stored in the Hadoop storage. Hbase is a NoSQL database which means it is used to store data in a tabular format even when there is no relation between the tables.

Hadoop is a storage system that contains two main components: HDFS (Hadoop Distributed File System) and MapReduce. Here, data is stored in a distributed fashion among different nodes. HBase (Hadoop Database) is a NoSQL database where data is stored in a structured format.

Hadoop storage does not support Dynamic storage but HBase does. In HDFS the architecture of the storage system is fixed but in HBase, dynamic changes can be made.

What is the difference between Hadoop HDFS HBase

HDFS is a Java based distributed file system that allows you to store large data across multiple nodes in a Hadoop cluster. Whereas HBase is a NoSQL database (similar as NTFS and MySQL).

As Both HDFS and HBase stores all kind of data such as structured, semi-structured and unstructured in a distributed environment.

You can get a better understanding with the Azure Data Engineer certification.

Differences between HDFS & HBase

HBase provides low latency access to small amounts of data within large data sets while HDFS provides high latency operations.
HBase supports random read and writes while HDFS supports WORM (Write once Read Many or Multiple times).
HDFS is basically or primarily accessed through MapReduce jobs while HBase is accessed through shell commands, Java API, REST, Avro or Thrift API.

HDFS stores large data sets in a distributed environment and leverages batch processing on that data.

While HBase stores data in a column oriented manner where each column is stored together so that, reading becomes faster leveraging real time processing.