Apache Hive

Apache Hive

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Score 8.2 out of 100
Apache Hive

Overview

Recent Reviews

Help your dev team !

8 out of 10
April 12, 2022
We build our data lake and perform queries on large amounts of data. We group data from multiple sources into a common structure, making …
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Capabilities of Apache Hive

8 out of 10
April 07, 2022
Main purpose for using Apache Hive was to get the insights from data. Analyzing the data and use it to take informed business decisions. …
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very useful for OLTP

10 out of 10
April 06, 2022
We use Apache to process large data and get the output with less process time. The framework is very much useful for data processing and …
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Big Data the SQL way

8 out of 10
September 23, 2020
I am working as a Research Assistant where I have to process tons of data to produce appropriate findings. Our NLP lab used it for all its …
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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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  • No setup fee

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Product Details

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.

Apache Hive Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Reviewers rate Usability highest, with a score of 8.7.

The most common users of Apache Hive are from Enterprises (1,001+ employees) and the Computer Software industry.

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Reviews and Ratings

 (100)

Ratings

Reviews

(1-8 of 8)
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Score 9 out of 10
Vetted Review
Verified User
Review Source
Thanks to its high usability Apache Hive enables users to craft extensive queries really efficiently and at the same time to how to hold response times very low. HiveQL simplicity makes it super easy to manage large datasets, what was almost an impossible task before introduction of Apache Hive data warehousing platform in our company.
September 23, 2020

Big Data the SQL way

Score 8 out of 10
Vetted Review
Verified User
Review Source
I rate it highly because it is easy to use and scalable. The SQL syntax enables the user to quickly jump in. It also works really well for datasets that have a large disk size. Also, the documentation is good enough for new users.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
Ananth Gouri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Apache Hive makes use of HiveQL as mentioned earlier. Most of the people working with data are comfortable using Structured Query Language syntax. Hence I would give a rating of 10 on 10 for the Hive's usability. May be few functionalities can be added like an update or a post execute feature - making it much more robust.
Score 7 out of 10
Vetted Review
Verified User
Review Source
It uses standard SQL, which most architects and developers are quite familiar with writing. The user interface and general intuitiveness of navigation are very dated and will require some searching for documentation before being able to find what certain functions are able to do. Works well but is still quite slow compared to similar products such as Impala.