Table of Contents

Hadoop Vs. Hbase

Hadoop is an open-source framework of programs that is used to store and process big data. Hadoop uses multiple clusters of computers to analyze big data sets in parallel. The distributed processing of data sets can be scaled from single servers to multiple servers. The Hadoop library is designed in a manner to detect and negate failure at the application layer level and doesn’t depend upon any hardware for delivering high availability. 

Hadoop is important for  

  • Storing and processing huge amounts of datasets in parallel quickly 
  • It allows to scale infinitely just by adding nodes 
  • It allows complete fault tolerance as the tasks are immediately routed to other nodes in case of failure of some nodes. It is more so possible because multiple copies of data are stored. 
  • It allows you the flexibility to store data in any formats be it text, videos and images 

The four main components of Hadoop are 

  • Hadoop Distributed File System (HDFS) 
  • Yarn 
  • MapReduce, 
  • and libraries 


Hbase is a distributed, column oriented, horizontally scalable big data store built on Hadoop distributed file system. It is modelled after Google’s Bigtable and written in Java. 

Ready to experience the full power of cloud technology?

Our cloud experts will speed up cloud deployment, and make your business more efficient.  

Features of Hbase 

  • It has strong consistency for read/write which implies that you will get real time data in a read operation. 
  • It allows for horizontal scaling. As the table size increases and can’t accommodate data, it is auto shraded and distributed to multiple machines in cluster. 
  • It can be coupled with MapReduce. The Hbase table can act as the source or the sink of the MapReduce job 
  • It helps to store sparse data in fault tolerant manner 
  • It serves the need to read/write data in real-time 

Hbase has features like 

  • Compression 
  • Bloom filters and  
  • In-memory operations 

Differences between Hadoop Distributed File System and Hbase 

HDFS Hbase 
Java based file system Hadoop database based. Java based, No SQL database 
Has a static architecture Allows dynamic changes. Can be even used for standalone applications 
Preferred for batch processing offline Preferred for real time processing 
High latency for operations Low latency to small amounts of data 
Ideally suited for write once and read many times sequentially Suited for random write and read of data 
Complete fault tolerant Partially fault tolerant 
Accessed through MapReduce Jobs Accessed through Java API, Rest, Avro and Thrift APIs 
Data stored in chunks Data stored in key value pairs 
Inexpensive when massive amounts of data are being processed Specifically used in random data access 
Hive performance with HDFS is excellent Hive performance with Hbase is four to five times slower 
Maximum data size is 30+ petabytes Maximum data size is nearly 1 petabyte 


Liked what you read !

Please leave a Feedback

Leave a Reply

Your email address will not be published. Required fields are marked *

Join the sustainability movement

Is your carbon footprint leaving a heavy mark? Learn how to lighten it! ➡️

Register Now

Calculate Your DataOps ROI with Ease!

Simplify your decision-making process with the DataOps ROI Calculator, optimize your data management and analytics capabilities.

Calculator ROI Now!

Related articles you may would like to read

Leveraging IT staff augmentation for effective data management and data architecture
Leveraging IT Staff Augmentation for Effective Data Management and Data Architecture 
How IT Staff Augmentation services flexibility and agility to IT departments
How IT staff augmentation services offer flexibility and agility to IT departments 
Educational Empowerment with IT Staff Augmentation in EdTech Advancements
Educational Empowerment with IT Staff Augmentation in EdTech Advancements 

Know the specific resource requirement for completing a specific project with us.


Keep yourself updated with the latest updates about Cloud technology, our latest offerings, security trends and much more.


Gain insights into latest aspects of cloud productivity, security, advanced technologies and more via our Virtual events.

ISmile Technologies delivers business-specific Cloud Solutions and Managed IT Services across all major platforms maximizing your competitive advantage at an unparalleled value.

Request a Consultation