Overview
What is Apache Hive?
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.
With Apache Hive, you can enter the world of Big Data
Best Distributed Database in the market
Help your dev team !
Spectacular SQL-like interface for accessing Hadoop
This system makes active data of value.
Best query platform for ETL.
It is an advance to the ease of the processes
Capabilities of Apache Hive
Excellent bigdata warehouse solution
Our use …
very useful for OLTP
Apache Hive
Walk into the World of Big Data with Apache Hive
Reliable and Cheaper one stop Data warehouse solution
Big Data the SQL way
Apache Hive: Big data querying tool w/SQL interface, but slower, more costly computation
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Pricing
What is Apache Hive?
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.
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Product Demos
Apache Hive Hadoop Ecosystem - Big Data Analytics Tutorial by Mahesh Huddar
Connecting Microsoft Power BI to Apache Hive using Simba Hive ODBC driver
Discover HDP 2.1: Interactive SQL Query in Hadoop with Apache Hive
Product Details
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What is Apache Hive?
Apache Hive Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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Reviews and Ratings
(98)Community Insights
- Business Problems Solved
Apache Hive is a versatile software that has been widely used across various departments and organizations for different use cases. It has proven to be particularly helpful in handling large datasets, migrating data between different operating systems, synchronizing programs, and fetching and generating product metrics. Users have found value in using Hive for data analytics, engineering, data science, product management, and IT-related tasks such as improving analysis of big datasets stored in Hadoop HDFS.
Furthermore, Apache Hive has simplified the process of filtering and cleaning data using SQL, reducing the learning curve for handling big data. It allows users to run SQL queries against data in Hadoop, enabling efficient analysis of large datasets without the need to learn a new language. Additionally, Hive has been utilized for building reports, analyzing data stored in the Hadoop file system, processing events gathered in HDFS, and converting them into parquet files for fast querying.
Overall, users have praised Apache Hive for its scalability, accessibility, and cost-effectiveness in storing and retrieving analytics data. It has provided an intuitive solution for storing large datasets, querying big sets of data using SQL, aggregating massive datasets into distilled information for data-driven decision making, and creating external and internal tables in Hadoop/BigData projects. With its ability to process both unstructured and structured data efficiently, Hive has become an essential tool for data analysts, engineers, and business analysts across organizations.