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Apache Hive logo Apache Hive Warehouse Apache Hive Metastore Apache Hive Architecture
Apache Hive Warehouse
Apache Hive Metastore
Apache Hive Architecture

Apache Hive

Brand : The Apache Software Foundation

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Apache Hive is an open-source data warehouse system built on top of Hadoop, facilitating querying and managing large datasets stored in distributed storage using a SQL-like language....Read more

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Apache Hive Software Pricing, Features & Reviews

What is Apache Hive?

Apache Hive is an open-source data integration software designed for querying and managing large datasets stored in distributed storage systems like Hadoop Distributed File System (HDFS). It provides a SQL-like language called HiveQL for querying data, allowing users to express complex analytical queries easily.

Hive translates these queries into MapReduce or Apache Tez jobs, enabling distributed processing across clusters. It supports schema-on-read, allowing flexibility in data storage formats, and integrates with other Apache ecosystem tools like HBase and Spark. Hive is widely used in big data environments for data summarization, analysis, and reporting tasks.

Why Choose Apache Hive Software?

  • Scalability: It can handle large volumes of data stored in distributed storage systems like HDFS, making it suitable for big data environments where scalability is crucial.
  • SQL-Like Query Language: It provides a familiar SQL-like interface for querying data, making it accessible to users with SQL proficiency and easing the learning curve for new users.
  • Integration with Hadoop Ecosystem: As part of the Hadoop ecosystem, It seamlessly integrates with other tools like HBase, Spark, and Pig, allowing for comprehensive data processing and analytics pipelines.
  • Schema-on-Read: It supports schema-on-read, enabling flexibility in data storage formats and facilitating data exploration without requiring predefined schemas.
  • Parallel Processing: It translates queries into MapReduce or Apache Tez jobs, leveraging parallel processing across distributed clusters to efficiently execute queries on large datasets.
  • Community and Support: Being an open-source project with a large and active community, It benefits from continuous development, improvements, and robust community support through forums, documentation, and contributed libraries.

Benefits of Apache Hive Platform

  • Data Accessibility: It provides a familiar SQL-like interface, enabling users to query and analyze large datasets without requiring extensive programming knowledge.
  • Ecosystem Compatibility: It seamlessly integrates with various tools and frameworks within the Apache Hadoop ecosystem, allowing for streamlined data processing workflows and interoperability.
  • Flexible Data Exploration: With schema-on-read support, It enables users to explore and analyze data stored in different formats without the need for predefined schemas, enhancing flexibility in data exploration and analysis.
  • Scalable Analytics: Its ability to handle large volumes of data and leverage parallel processing across distributed clusters facilitates scalable analytics, empowering organizations to derive insights from massive datasets efficiently.
  • Cost-Effectiveness: As an open-source solution with a large community and support ecosystem, It offers a cost-effective option for organizations seeking scalable data warehousing and analytics solutions.

Pricing of Apache Hive ETL Tool

Apache Hive price details are available on request at techjockey.com.

The pricing model is based on different parameters, including extra features, deployment type, and the total number of users. For further queries related to the product, you can contact our product team and learn more about the pricing and offers.

Apache Hive Pricing & Plans

Apache Hive price is available on request

Looking for pricing details, customization requirements or have other queries? We are just a click away.

Apache Hive Features

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Data Analysis

It facilitates comprehensive data analysis via SQL-like queries for insights extraction from large datasets.

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Merge

It allows merging datasets, enabling users to combine multiple data sources into a single dataset for analysis.

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Data Filtering

It permits dataset filtering based on specific criteria, aiding data extraction and refinement.

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Data Quality Management

It provides tools for managing data quality, ensuring the accuracy and reliability of analysis results.

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Metadata Management

It offers features for managing metadata, enhancing organization and understanding of data assets.

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Relational Database

It offers relational database capabilities, enabling manipulation of structured data using SQL-like queries.

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ACID

It supports ACID transactions, ensuring data integrity and reliability in database operations.

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Data Compaction

It includes features for data compaction, optimizing storage efficiency by reducing redundant or unnecessary data.

Apache Hive Specifications

  • Supported Platforms :
  • Device:
  • Deployment :
  • Suitable For :
  • Business Specific:
  • Business Size:
  • Customer Support:
  • Language:
  • Ubuntu Windows MacOS Linux
  • Desktop
  • Web-Based
  • All Industries
  • All Businesses
  • Small Business, Medium Business, Enterprises
  • Email, Communities
  • English

Apache Hive Reviews and Ratings

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The Apache Software Foundation Company Details

Brand Name The Apache Software Foundation
Information Apache Software Foundation provides organizational, legal and financial support for Apache open-source software projects.
Founded Year 1999
Director/Founders Brian Behlendorf, Grant Ingersoll, Isabel Drost-Fromm, Jim Jagielski, Lars Eilebrecht, Patrick Stued
Company Size 1-100 Employees
Other Products Apache Flink , Apache HBase, Apache Jmeter , Apache Kafka, Apache Spark

Apache Hive FAQ

A Apache Hive Software is compatible with Ubuntu, Windows, Linux, and MacOS.
A Apache Hive Software is not available for Android and iOS app users.
A Apache Hive supports web-based deployment.
A Apache Hive price details are available on request at techjockey.com.
A Apache Hive Software is typically used by all industries to perform data summarization, query, and analysis tasks efficiently.
A A demo of Apache Hive is available at techjockey.com.
A Apache Hive Software is not available for free. You can connect with our product experts to learn more about the pricing plans.
A Apache Hive Software does not offer a free trial.
A Apache Hive Software installation is not required, as it is web-based. Just open the Setup Wizard to get started.
A Apache Hive works by translating SQL-like queries into MapReduce or Apache Tez jobs, distributing them across distributed clusters to process and analyze large data sets stored in Hadoop's distributed file system (HDFS), enabling users to perform data querying and analysis tasks efficiently.

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