In this HBase tutorial, you will be discovering the top NoSQL database which operates on top of the Hadoop Distributed File System (HDFS). With several NoSQL choices, how will you choose one? It simply depends on the requirements of the enterprises/users and also not every NoSQL serves the same purpose and thus, the use cases for every single platform is slightly different from one another. The best is that none of them can be considered a replacement; the enterprises are gravitating towards three of the strong options, i.e.  NoSQL DBs, i.e. HBase, Cassandra, and MongoDB.

Some of the features which make HBase a strong technology for big data computing are:

  • Big Data can be accessed using random read/write operations
  • Designed after Google’s BigTable which operates on Google file system
  • Typically suitable for writing heavy applications
  • Built specially for low latency operations.
  • Provides low latency access to a large and dynamic database

In this HBase tutorial, you will learn HBase from the very basics so that you get a clear idea of what
HBase is all about. HBase has reached a major milestone in project development and database usage. It is a column-oriented key-value data store and has idolized widely because of its lineage with Hadoop and HDFS. HBase runs on top of HDFS and well-suited for faster read and writes operations on large datasets with high throughput and low input/output latency. Unlike relational and traditional databases, HBase does not support SQL scripting instead written in Java employing similarity with MapReduce application.

The difference between HBase and HDFS can be better understood from the following comparative analysis:

Built on top of HDFS Built on top of Hadoop cluster
Supports fast individual record lookups Does not support fast individual record lookups
Random access Sequential access
Low latency High latency

Nonetheless, it is not only the common roots of Hadoop and HDFS, but HBase is known for its remarkable scalability so much so that it can handle an increase in load and performance demands by adding various server nodes. Providing optimal performance when consistency is critical, it gives leverage to developers with SQL expertise by a modern distributed system. You can get more to know more technical functionalities of HBase in this tutorial.

HBase Tutorial Video

Intellipaat’s HBase tutorial will let you learn HBase very fast and efficiently. You will get to know the practical implementation of this NoSQL database and operations using Java API. Aiming to provide a comprehensive understanding of technology, we include an explanation of basics and advanced features of Client API. Further, its integration with MapReduce (another essential feature), cluster tuning and repeated testing performance are also explained well meticulously in the tutorial.
More interactive and specific than a book, the learning is dedicated to imparting complete information using examples. Besides primary learning, you can find additional contemporary database facts that will be useful in your professional career. You will receive a quick idea of creating fault-tolerant databases for saving massive amounts of sparse data.
You can also take a quick tour of the training courses we offer in niche technology and learn them anywhere, anytime and on any device. Our training prepares learners for Professional Certification Courses provided by renowned, authentic training providers.

This blog will help you get a better understanding of Introduction to Hbase!

Recommended Audience

  • Big Data Analysts are responsible for managing high volumes of data and want to learn modern ways of handling datasets.
  • Project Managers aspiring to reach the next level in IT development and database processes can make the best learning from this tutelage.
  • Programmers who intend to analyze large volumes of structured data like CDRs or IPDRs
  • Analytics, Testing and Mainframe Professionals who want to enhance their knowledge on HBase API and its working with Hadoop
  • Entry-level and advanced programmers in Java, Python, C++
  • Graduates aiming to build their career in advanced Data Management System and Hadoop

Learn new Technologies


  • Since this is an easy-to-understand tutorial, you can learn without any expertise in Hadoop, HDFS, and databases.
  • However, prior knowledge of Java, OOPs and simple relational database can be of great help.

Table of Contents

Introduction - HBase Tutorial

HBase: The Hadoop Database: HBase is a distributed column-oriented database which is built on top of the Hadoop file system. It is an open-source project and is horizontally scalable. Column-oriented databases are those that store data tables as sections of columns of data, rather than as rows of data.It is a non relational database system(NoSQL). HBase is a faithful, open Read More

Installation - HBase Tutorial

Installation Guide and Requirements for HBase: 2.1 Requirements 2.1.1 Hardware It is difficult to specify a particular server type that is recommended for HBase. In fact, the opposite is more appropriate, as HBase runs on many, very different hardware configurations. The usual description is commodity hardware. HBase is written in Java, so need support for a current Java Runtime, and Read More

Operations using HBase Shell

Starting with HBase Shell Commands: 2.1 HBase shell commands HBase shell provide the commands which are used to communicate with hbase. General Commands whoami: It gives the information about the user. hbase> whoami status: It gives the status of HBase. Its syntax is as follows: hbase> status table_help: It gives help for table-reference commands. Its syntax is as follows:- hbase> Read More

Operations using Java API

List of Java API Operations: 1. Create table using Java API createTable() method is used to create a table using java API.  Example:-  import java.io.IOException; import org.apache.hadoop.hbase.*; import org.apache.hadoop.conf.Configuration; public class tablecreate { public static void main(String[] args) throws IOException { Configuration c = HBaseConfiguration.create(); // Instantiate configuration class HBaseAdmin ad = new HBaseAdmin(c);      // Instantiate HbaseAdmin class // Instantiate Read More

Client API: The Basics

Working with HBase Client API: 5.1 CRUD Operations The initial set of basic operations are often referred to as CRUD, which stands for create, read, update, and delete.   5.1.1 Put Method This group of operations can be split into separate types: those that work on single rows and those that work on lists of rows.   Single Puts void Read More

Client API: Advanced Features

Advanced Features of HBase Client API: 6.1 Filters HBase filters are a powerful feature that can greatly enhance your effectiveness when working with data stored in tables. Introduction to Filters The two prominent read functions for HBase are get() and scan(), both supporting either direct access to data or the use of a start and end key, respectively. You can Read More

MapReduce Integration

HBase MapReduce Integration Examples: One of the great features of HBase is its tight integration with Hadoop’s MapReduce framework. 7.1 Framework     7.1.1 MapReduce Introduction MapReduce as a process was designed to solve the problem of processing in excess of terabytes of data in a scalable way. There should be a way to build such a system that increases Read More

Performance Tunning

Performance Tunning Technique: It includes various advanced techniques for tuning a cluster and testing it repeatedly to verify its performance. 8.1 Garbage Collection Tuning One of the lower-level settings you need to adjust is the garbage collection parameters for the region server processes. Note that the master is not a problem here as it does not handle any heavy loads, Read More

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