How are HDFS and HBase different from each other?

0 votes
I am new to Big Data and Hadoop, I am confused with the functionalities that HDFS is capable to offer, these are similar to RDBMS. As far as I have searched, I found HDFS is a software which manages data by dividing them into chunks, replicate and store it.

Please help me out to learn the difference.
Jun 25, 2019 in Big Data Hadoop by nitinrawat895
• 10,840 points
54 views

1 answer to this question.

0 votes

Apache Hadoop project includes four key modules

  1. Hadoop Common: The common utilities that support the other Hadoop modules.

  2. Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.

  3. Hadoop YARN: A framework for job scheduling and cluster resource management.

  4. Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

HBase is A scalable, distributed database that supports structured data storage for large tables. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

When to use HBase:

  1. If your application has a variable schema where each row is slightly different

  2. If you find that your data is stored in collections, that is all keyed on the same value

  3. If you need random, real-time read/write access to your Big Data.

  4. If you need key-based access to data when storing or retrieving.

  5. If you have a huge amount of data with existing Hadoop cluster

But HBase has some limitations

  1. It can't be used for classic transactional applications or even relational analytics.

  2. It is also not a complete substitute for HDFS when doing large batch MapReduce.

  3. It doesn’t talk SQL, have an optimizer, support cross record transactions or joins.

  4. It can't be used with complicated access patterns (such as joins)

answered Jun 25, 2019 by ravikiran
• 4,600 points

Related Questions In Big Data Hadoop

0 votes
2 answers

How are Partitioning and Bucketing different from each other in Apache Hive?

Let us consider a student database table ...READ MORE

answered Apr 15, 2019 in Big Data Hadoop by nitinrawat895
• 10,840 points
630 views
0 votes
1 answer
0 votes
1 answer

What is fork Keyword in Oozie? How Fork and Join keyword are related t o each other in Oozie?

Hey, Basically, when we want to run multiple jobs ...READ MORE

answered Jun 11, 2019 in Big Data Hadoop by Gitika
• 25,440 points
113 views
0 votes
1 answer

How to create a FileSystem object that can be used for reading from and writing to HDFS?

Read operation on HDFS In order to read ...READ MORE

answered Mar 21, 2018 in Big Data Hadoop by nitinrawat895
• 10,840 points

edited Mar 21, 2018 by nitinrawat895 464 views
+1 vote
1 answer

Hadoop Mapreduce word count Program

Firstly you need to understand the concept ...READ MORE

answered Mar 16, 2018 in Data Analytics by nitinrawat895
• 10,840 points
3,897 views
0 votes
1 answer

hadoop.mapred vs hadoop.mapreduce?

org.apache.hadoop.mapred is the Old API  org.apache.hadoop.mapreduce is the ...READ MORE

answered Mar 16, 2018 in Data Analytics by nitinrawat895
• 10,840 points
535 views
+1 vote
11 answers

hadoop fs -put command?

put syntax: put <localSrc> <dest> copy syntax: copyFr ...READ MORE

answered Dec 7, 2018 in Big Data Hadoop by Aditya
20,703 views
0 votes
1 answer

Hadoop dfs -ls command?

In your case there is no difference ...READ MORE

answered Mar 16, 2018 in Big Data Hadoop by kurt_cobain
• 9,290 points
1,464 views
0 votes
1 answer

Explain to me the difference between HBase and HDFS.

Hadoop generally consists of three major components: HDFS It ...READ MORE

answered Apr 12, 2019 in Big Data Hadoop by ravikiran
• 4,600 points
224 views