Today, in this article we will discuss Hive vs Hue. Moreover, we will compare both the technologies on the basis of several features. Though, in order to understand the Apache Hive vs Hue comparison well, here we will start the comparison with the brief introduction to know the basic concepts.
So, let’s begin Hive vs Hue tutorial.
Difference Between Hive and Hue
a. What is Hive?
In Hadoop, Hive is considered as a de facto standard for SQL queries over petabytes of data, since its incubation in 2008. Apache community has greatly improved Hive’s speed, scale and SQL semantics along with the completion of the Stinger Initiative, and the next phase of Stinger.next.
Moreover, it can integrate with other critical data center technologies with the familiar JDBC interface. Mainly, to query, summarize, explore and analyze that data, then turn it into actionable business insight Data analysts use Hive.
Follow the link to learn more about Hive
b. What is Hue?
In order to simplify the process of creating, maintaining, and running many types of Hadoop jobs, Hue (Hadoop User Experience) offers a web GUI to Hadoop users.
Basically, it is made up of several applications which interact with Hadoop components, and also has an open SDK to allow new applications to be created.
However, there wasn’t any user interface designed during the initial releases of Hadoop but many of the operations in the Hadoop ecosystem are operated through a command line interface only.
So, a web user interface which performs some of the common activities with the Hadoop ecosystem or Hadoop based frameworks is what we call Hue. Basically, an open source Hadoop framework called Cloudera launched and developed Hue.
Feature Wise Comparison of Hive vs Hue
So, let’s discuss the featurewise comparison of Hive vs Hue –
a. Inventor / Invention
- Hive
Apache Software Foundation launched Hive
- Hue
Cloudera launched and developed Hue.
b. Meaning
- Hive
Basically, an analytic query language, which we use to process as well as retrieve data from a data warehouse is what we call Hive.
- Hue
Whereas, a Web UI which facilitates the users to interact with the Hadoop ecosystem, is what we call Hue.
c. Installation/ Configuration
- Hive
By using command line Interface of a Hadoop Ecosystem, we can install or configure Hive.
- Hue
However, in order to install or configure Hue, we can use a web browser.
d. Functionality
- Hive
In order to process and analyze the data, Hive uses the MapReduce algorithm.
- Hue
Though, to access Hive and other programming languages, Hue offers a Web UI editor.
e. Implementation
- Hive
With the help of a command line interface or a web UI Interface, we can implement and access Hive.
Have a look at Hive DDL Commands
- Hue
It is possible to implement Hue on a web browser. It also helps to access multiple programs installed on Cloudera.
f. Dependency
- Hive
Across multiple Hadoop Frameworks, Hive can be embedded. ‘
- Hue
But it is present only on Cloudera Based Hadoop Framework.
g. Authentication
- Hive
Basically, with Kerberos 2.0 authentication, Hive has secured authentication.
Do you know about Hive UDF
- Hue
Basically, the first user automatically becomes an administrator into Hue by choosing any username or password. And, this admin creates other user and administrator accounts.
However, it is must that Hue user corresponds to the Linux users those who use Hue still ensure you use the same name as the Linux username.
Although, the authentication system is pluggable. To perform the authentication, we can configure authentication to use an LDAP directory (Active Directory or OpenLDAP), or also we can import users and groups from an LDAP directory.
So, this was all in Apache Hive vs Hue. Hope you like our explanation.
Conclusion – Apache Hive vs Hue
Hence, in this Hive vs Hue tutorial, we can see both Hive and Hue have a key role to play in modern-day Big Data analytics and we can use and configure both in the Hadoop based frameworks depending on the end user requirements.
Moreover, we saw the complete feature wise comparison of Hive vs Hue. Still, if any doubt, you can ask in the comment tab.