Code360 powered by Coding Ninjas X Naukri.com. Code360 powered by Coding Ninjas X Naukri.com
Table of contents
1.
Introduction
2.
Advantages of HBase
2.1.
Can handle a large amount of data
2.2.
Speed
2.3.
Scalable
2.4.
Schemaless
2.5.
Java API for client access
2.6.
Use cases
3.
Disadvantages of HBase
3.1.
Replacement is not easy.
3.2.
Not like SQL 
3.3.
No transaction feature
3.4.
It does not supports JOIN operation 
3.5.
Expensive
3.6.
No default indexing
4.
FAQs
5.
Key takeaways 
Last Updated: Mar 27, 2024

HBase Pros & Cons

Author ANKIT KUMAR
0 upvote
Master Python: Predicting weather forecasts
Speaker
Ashwin Goyal
Product Manager @

Introduction

We have already seen the use cases of HBase. We have seen how HBase is used by various leading tech companies. There are various features of HBase that make it the top choice of users. However, there are some shortcomings, which we shall discuss in this article. This article will discuss both the advantages and disadvantages of using HBase.

Also see, Multiple Granularity in DBMS

Advantages of HBase

Can handle a large amount of data

HBase can be used to handle large amounts of data in the range of petabytes. It stores large data sets on the top of HDFS file storage and can be used for analytics. It is schema-less and provides quick access to the data from billions of records present in the database. Since it is schema-less, we do not have columns in HBase. Rather, we have column families. The column families can have different attributes. Also, each row is not required to have exact column family qualifiers.

Speed

Compared to various relational database management systems, the HBase is more efficient. The searching and processing are much faster in HBase. The feature of random access in HBase is one of its key features and enhances its performance.

Scalable

It provides greater flexibility, reliability, and scalability. It is linearly scalable. The schema flexibility is because of the column-oriented database. It supports variable schema. The columns can be modified (added/ removed) very easily. The other area where we get flexibility is the schema.

Schemaless

We define column families in HBase. There is no concept of a fixed schema like the RDBMS. This provides a great edge to HBase.

Java API for client access

It provides Java API for clients to process huge amounts of data. The Java API  includes all Java packages, classes, interfaces, methods, fields, and constructors, which can be used by the clients.

Use cases

There are various areas where HBase is used extensively. HBase finds applications in e-commerce, healthcare, sports, oil, and petroleum industries for heavy data analytics. There are many leading tech giants like Facebook, Twitter, Adobe that use HBase.

Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job
Bootcamp

Disadvantages of HBase

After we have discussed the various advantages of HBase, let us analyse some of the shortcomings of HBase. 

Replacement is not easy.

There are many features of the traditional model which are not supported by the HBase. Because of this, it is not considered to be the best replacement for traditional models.

Not like SQL 

Since HBase does not support SQL structure, hence we cannot use it like SQL. Querying is complex and not as simple as that in SQL. HBase does not contain any query optimizer.

No transaction feature

The HBase does not provide a mechanism to start a transaction and roll back. Therefore it is always suggested to use HBase where we do not require the transaction feature.

It does not supports JOIN operation 

The JOINS are handled in the MapReduce layer. Both normalization and joining are very difficult.

Expensive

It is expensive in terms of hardware requirements and memory blocks allocations. It supports only one default sort per table. It results in unpredictable latencies when we integrate HBase with MapReduce jobs.

No default indexing

Unlike the RDBMS, HBase does not provide the facility of default indexing. One has to manually perform the indexing. Another disadvantage is that there cannot be more than one indexing in the table. Only the row key column acts as a primary key in HBase.

FAQs

  1. What are the advantages of HBase?
    It can handle large data sets. It is scalable. It is schema-free. It provides Java API for clients, etc.
     
  2. What are the disadvantages of HBase?
    It is not an easy replacement, does not support various RDBMS features, querying is complex, and does not provide default indexing.
     
  3. When should we not use HBase?
    It is not optimized for transactional and join operations. So whenever these two operations are to be used frequently, HBase must be avoided.
     
  4. Why is querying not optimized in HBase?
    It is not a relational database. It does not support query language because of which querying is not very efficient.
     
  5. Where can we use HBase?
    HBase is used in cases where we need random read and write operations and it can perform a number of operations per second on a large data sets. HBase gives strong data consistency.
     

Take this awesome course from coding ninjas.

Key takeaways 

  • There are various features of HBase that make it the top choice of users. However, there are some shortcomings.
  • HBase can be used to handle large amounts of data in the range of petabytes. It stores large data sets on the top of HDFS file storage and can be used for analytics.
  • The searching and processing are much faster in HBase.
  • It provides greater flexibility, reliability, and scalability. It is linearly scalable.
  • There is no concept of a fixed schema like the RDBMS.
  • There are many features of the traditional model which are not supported by the HBase.
  • Querying is complex and not as simple as that in SQL. HBase does not contain any query optimizer.
  • Unlike the RDBMS, HBase does not provide the facility of default indexing.

Never stop learning. Explore more here.

Happy learning!

Previous article
HBase Features
Next article
HBase Use Cases
Live masterclass