Home / Hadoop

Cloudera vs Hortonworks

Rating: 5
Views: 14469
by Ravindra Savaram
Last modified: April 17th 2021

For individuals interested in harness the potential of Big Data, the perfect answer to them to do so is Hadoop. Apache Hadoop, an open-source framework enables us in processing larger datasets by distributing them across many commodity HDFS servers. It thus eliminates any dependencies of having high-end hardware, making the whole process economical for the business to implement.

Organizations of any kind who want to work with Hadoop have come with better choices of enterprise versions of Cloudera vs Hortonworks to choose from.

Hadoop in its initial version was just designed as a write-once storage infrastructure but over the years it has evolved from just that to expand beyond mere web indexing capacity too much more. Based on Google’s implementation of the MapReduce model, Hadoop was designed to store/process larger datasets and data being available on more than one computer server.

The Hadoop Distributed File System (HDFS) helps in breaking down all the incoming data to store them across multiple nodes, the MapReduce component facilitates parallel processing of data across multiple nodes.

Hadoop is no out-of-the-box solution by any means. To build a truly information-driven enterprise, where decisions are taken based on data rather than relying on guesswork, Organizations will require a data management solution that offers not just data governance but also should be able to manage the existing enterprises. There should be seamless integration with the existing enterprise infrastructure as well.

The modular architecture of Hadoop makes it very flexible in adding new functionalities that tend to answer more diverse Big Data tasks. Vendors who have implemented Hadoop’s open-ended framework, tweaked its code to enhance the existing functionalities. In the process of enhancing features, few of the implementations have concentrated on fixing the existing drawbacks of Apache Hadoop.

In the distribution of Hadoop is concerned, there are 3 companies that stand out in the competition, namely Cloudera, MapR, and Hortonworks.

Get trained on MapReduce, Pig, Hive, HBase, and Apache Spark with the Big Data Hadoop Certification Training Course. Click to enroll now!

In this Cloudera vs Hortonworks article the following topics we will be discussing ahead:

Cloudera vs Hortonworks - Which is Better?

Cloudera has been in the field of Hadoop distribution for quite longer than Hortonworks, where Hortonworks joined later. Cloudera and Hortonworks are both 100% pure implementation of the same Hadoop core and are open source.

Each of these Hadoop distributions has its own pros and cons and it is best understood by making a comparative study of these distributions to understand it better. Let us now get neck-deep into the comparative study between these two Hadoop distributions, Cloudera and Hortonworks in detail.

Both of these Hadoop distributions namely Cloudera and Hortonworks provide consulting, training, and technical assistance to consumers who are in need. Cloudera has a range of its own proprietary elements tagged with its Hadoop distribution in its Enterprise 4.0 version (addition of administrative and management capabilities to Apache Hadoop core software) whereas Hortonworks’ Hadoop distribution is a pure 100% open-source framework for direct usage with no proprietary software tagged along with its distribution.

What is Cloudera?

Cloudera Inc. was founded as a collective effort of big data geniuses from Google, Oracle, Yahoo, and Facebook in the year 2008. Cloudera was the first one to develop and distribute Apache Hadoop - based software and is still the largest organization with the largest user base with many customers to their belt.

In addition to the core of the distribution based upon Apache Hadoop, Cloudera has provided more proprietary tools such as the Cloudera Management suite to automate the installation process, Cloudera Search to ease the process of search of products. The Cloudera Management suite provides the users reduced deployment time, real-time node counts, etc.

Hadoop Interview Questions for Beginners

What is Hortonworks?

Hortonworks was founded in the year 2011 and has then quickly emerged as the leading vendor to provide Hadoop distributions. The Hadoop distribution made available by Hortonworks is also an open-source platform based on Apache Hadoop for analyzing, storage, and management of Big Data.

Hortonworks is the only vendor to provide a 100% open source distribution of Apache Hadoop with no proprietary software tagged with it. Hortonworks distribution, HDP 2.0 can be accessed and downloaded from their organization website for free and its installation process is also very easy.

The inclusion of YARN into Hadoop’s ecosystem from the distribution made available by Hortonworks – makes it better than MapReduce, in a sense to enable more integrations of data processing frameworks.

Similarities Cloudera and Hortonworks 

With the discussions about Cloudera and Hortonworks being done individually, let us now try to understand the similarities that both of these Hadoop distributions share with each other. This will bring in a better sense of understanding about Hadoop as such and what are the pain points that both Cloudera and Hortonworks have tried to address in common that Apache Hadoop missed in its initial versions of it.

  1. Both Cloudera and Hortonworks are built upon the same core of Apache Hadoop, thereby both of these share more similarities than differences.
  2. Both Cloudera and Hortonworks are enterprise-ready Hadoop distributions to answer customer requirements in regards to Big Data. Each of these has passed the tests of consumers in the areas of security, stability, and scalability. They provide paid training and services to make ourselves familiarized.
  3. Each of Cloudera and Hortonworks has its own established communities that actively help the consumers with their problems.
  4. Both of these Hadoop distributions have the Master-Slave architecture
  5. Both of these Hadoop distributions have a shared-nothing computing framework
  6. Both of these Hadoop distributions have their support towards MapReduce and YARN.

Comparison Between Cloudera and Hortonworks 

Having discussed more in detail about these two Hadoop distributions individually, now let us take a look at the differences between these two – in order to decide to choose which vendor over the others available in the market today. If we put all the differences together broadly, Cloudera and Hortonworks differ in the following aspects:

Cloudera
Hortonworks
Cloudera announced its long-term achievement to be an enterprise data hub thus eliminating the need for a Data Warehouse.
Hortonworks looks forward to firmly provide Hadoop distribution partnering with data warehousing company Teradata, just for this purpose
Cloudera CDH can run on a Windows server
Hortonworks HDP is a native component on Windows Server. A Hadoop based Hadoop cluster can be deployed on Windows Azure through HDInsight service
Cloudera has the proprietary management software called the Cloudera Manager, SQL Queries handling interface called the Impala, Cloudera Search to provide real-time and easy access to products
Hortonworks uses Ambari for management, Stinger for handling queries, and Apache Solr for data search. Hence there is no proprietary software in its ecosystem.
Cloudera with its proprietary software in usage has a commercial license. Cloudera also encourages the use of its open-source projects absolutely free but it doesn’t include Cloudera Manager or any other proprietary software in the package
Hortonworks on the other goes by an open-source license.
Cloudera comes with a 60 days free trial
Hortonworks is completely free, absolutely.
Cloudera has been in this market than any other of its counterparts with more than 350 customers.
Hortonworks is catching up the race quite fast and has more innovations in the Hadoop ecosystem than Cloudera in the recent past
Cloudera has many enterprise software laid over its open-source distributions to help the customers with their unique requirements
Hortonworks provides a framework constituting just the open-source projects striving to fulfill all the customer requirements
 

Conclusion

In this article, we have introduced you to the many available Hadoop distribution vendors. Along with it, we also have discussed in great detail the similarities and differences between these two Hadoop distributions – Cloudera, Hortonworks.

List of Other Big Data Courses

 Hadoop Administration  MapReduce
 Big Data On AWS  Informatica Big Data Integration
 Bigdata Greenplum DBA  Informatica Big Data Edition
 Hadoop Hive  Impala
 Hadoop Testing  Apache Mahout