The use, benefit, and framework of Hadoop are growing in popularity. The Apache Hadoop is used as a base to build more frameworks like HBase and Hive.

Edureify, the best AI Learning App has previously provided information on Hadoop and HBase. In this article, Edureify will provide information on Hive, another Hadoop-based data warehouse system.

Read on to know about Hive and also learn the Hive skills with Edureify’s web development coding Bootcamp.

What is Hive?

Apache Hive is a full-tolerant, distributed data warehouse system. Hive enables data analysis on a massive scale. It is a data warehouse that stores information for easy analysis of information for performing data-driven decisions. Hive uses SQL to permit users to read, write, and manage petabytes of data.

Hive is built on top of Apache Hadoop. Hive can be integrated with Hadoop easily.

Features of Hive

Some of the key features of Hive are-

  • Hive can perform queries and manage only structured data stored in tables
  • It is fast and is designed for efficiently handling petabytes of data in batch processes
  • It is easy to use as it has a familiar SQL-like interface that makes it accessible to non-programmers
  • Based on one’s needs, it can scale and distribute data accordingly
  • It supports the following four file formats-
    • ORC
    • SEQUENCEFILE
    • RCFILE (Record Columnar File)
    • TEXTFILE
  • Enables partition and buckets for faster data retrieval

Working of Hive

Hive can be used easily by programmers familiar with SQL for Hive has an SQL-like interface called HiveQL. Hive works efficiently across a very large distributed database by using the method of batch processing.

Hive first transforms the HiveQL queries into MapReduce or Tez jobs. It then runs on the distributed job scheduling framework of Apache Hadoop, Yet Another Resource Negotiator (YARN). Hive can store queries in a distributed storage solution like Hadoop’s HDFS or Amazon S3.

Applications of Hive

The following are some of the applications of Hive-

  • Airbnb- The Airbnb platform that helps connect people with places to stay and things to do, uses Amazon EMR that enables them to run Hive on a S3 data lake. Airbnb can perform ad hoc SQL queries on the data stored in the S3 data lake by running Hive on the EMR clusters. This enables the application to reduce cost and save time.
  • Guardian- Guardian is an insurance and wealth management organization. The organization uses Amazon EMR to run Hive on a S3 data lake. Hive enables batch processing and the S3 data lake initiates the platform to allow customers to reach and purchase the products.

Difference between Hive and HBase

Both Hive and HBase are built on the Hadoop system. The following are the differences between the two frameworks built on the same open-source framework-

S.No. Hive HBase
1. It is an SQL-like query engine. It is designed for high volume data stores and also supports multiple file formats. It stores custom query capabilities for it has a low-latency distributed key value. It stores data in column-oriented format.
2. It performs batch processing. It performs real-time processing.
3. It has medium to high latency. It has low latency.
4. It has HiveQL that supports SQL-like queries. It does not provide any SQL support.
5. It has defined schema for all tables. It is schema-free.
6. Supports both structured and non-structured data. Supports only unstructured data.

 

Hive for Cryptocurrency, NFT, and Metaverse

Hive provides a secured environment for Cryptocurrency transactions and interacts with Web3 apps.

The Hive blockchain also supports NFT and Metaverse development courtesy of its batch processing feature.

Here was the beginner’s guide to Hive.

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Some FAQs on Hive-

1. What is Hive?

Apache Hive is a full-tolerant, distributed data warehouse system. Hive enables data analysis on a massive scale. It is a data warehouse that stores information for easy analysis of information for performing data-driven decisions. Hive uses SQL to permit users to read, write, and manage petabytes of data.

2. Is Hive built on Hadoop?

Yes, Hive is built on Hadoop.

3. Is Hive open source?

Yes, Hive is open-source.

4. Mention the four file formats supported by Hive.

The four file formats supported by Hive are-

  • ORC
  • SEQUENCEFILE
  • RCFILE (Record Columnar File)
  • TEXTFILE

5. From where can I learn more about Hive?

Join the best coding Bootcamp offered by Edureify and learn more about Hive.

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