TrustRadius Insights
Apache Hive is a versatile software that has been widely used across various departments and organizations for different use cases. It has …
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.
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Pricing
N/A
Unavailable
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.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
24 people also want pricing
Alternatives Pricing
What is ClicData?
ClicData is a 100% cloud-based business intelligence platform that allows users to connect, process, blend, visualize and share data from a single place. As an automated platform, users are able to rely on the latest version of company data, to ensure users make the right decisions. Hundreds of…
What is retailMetrix?
RetailMetrix is a data analytics platform for retailers with the mission of enabling retailers to get value from their data. RetailMatrix processes and stores sales, labor and customer data using data warehouse technologies. Its dashboards and reports allows team to find the data that matters to…
Product Demos
Apache Hive Hadoop Ecosystem - Big Data Analytics Tutorial by Mahesh Huddar
YouTube
Connecting Microsoft Power BI to Apache Hive using Simba Hive ODBC driver
YouTube
Discover HDP 2.1: Interactive SQL Query in Hadoop with Apache Hive
YouTube
Product Details
- About
- Tech Details
- FAQs
What is Apache Hive?
Apache Hive Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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 8.5.
The most common users of Apache Hive are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(97)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- 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.
Attribute Ratings
Reviews
(1-25 of 35)Companies can't remove reviews or game the system. Here's why
Score 8 out of 10
Vetted Review
Verified User
On-premises large data processing is handled by Apache Hive, which is running on Cloud ERA Servers. In order to use Apache Hive, you must have a distributed system that is query efficient and can perform queries quicker with parallel execution. Metrics like user information and purchase history are stored in HDFS and then accessed using queries built on top of Hive using Apache Hive.
April 19, 2022
Best Distributed Database in the market
We use Apache Hive to store a large set of data, which are huge documents such as problem statements and its answer, not only submitted by the site owners but also by the user of the site.
April 12, 2022
Help your dev team !
We build our data lake and perform queries on large amounts of data. We group data from multiple sources into a common structure, making it easy for our developers to perform complex queries without leaving the simple framework provided by SQL. Although the deployment is not easy, once we have the infrastructure, the work is greatly simplified.
April 11, 2022
Spectacular SQL-like interface for accessing Hadoop
To manage and view Apache Hadoop data in a SQL-like format To be able to query databases across the organization, quickly To query data for the purpose of using on Spark projects To save queries
April 09, 2022
This system makes active data of value.
We have used the system to migrate data either for new versions or because we will use another operating program, the software helps us to synchronize programs between different operating systems, a history of information can be kept constant, and it can be sent to third parties the information already transformed.
April 08, 2022
Best query platform for ETL.
I used Apache Hive on top of Hadoop for filtering and cleaning data using SQL. It was the part of the project which I was working on. Apache Hive gives SQL-like a platform where we can fire SQL queries. Apache Hive was a perfect choice for cleaning data as we were using Apache Hadoop and both are Apache products.
April 08, 2022
It is an advance to the ease of the processes
The software is intuitive from the first steps, one of the first features we take into account for the software does not allow duplicate files to be stored. It is advanced software that through data the system constantly learns and develops. The first phase is very effective, the analysis and checking of the information are verified in detail.
April 07, 2022
Capabilities of Apache Hive
Main purpose for using Apache Hive was to get the insights from data. Analyzing the data and use it to take informed business decisions. Also the interface is similar to SQL working so it is easy to understand for a new person also.
April 07, 2022
Excellent bigdata warehouse solution
Apache Hive is an open-source data warehouse solution built on top of Hadoop that helps to analyze a very large amount of data.
Our use case/scope is to work on a large data analytics project where the data frequency and velocity are very high. Apache Hive is very useful in processing both the unstructured and structured data in a seamless way. It help us in reducing to write complex queries as it is targeted to the SQL queries, we have a engineer team who are very proficient in writing SQL queries with the help of Apache Hive to process the big data.
We have identified no business issues using the solution.
Our use case/scope is to work on a large data analytics project where the data frequency and velocity are very high. Apache Hive is very useful in processing both the unstructured and structured data in a seamless way. It help us in reducing to write complex queries as it is targeted to the SQL queries, we have a engineer team who are very proficient in writing SQL queries with the help of Apache Hive to process the big data.
We have identified no business issues using the solution.
April 06, 2022
very useful for OLTP
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 analytics purpose.
November 24, 2021
Apache Hive
1. Used Apache Hive to create external and internal tables in Hadoop / BigData projects on Cloudera and Azure platforms. 2. Apache Hive supports different file formats to create tables. Supported file formats are CSV, Parquet, Avro, JSON. 3. Apache Hive can store billions of records in distributed storage and retrieve them efficiently. 4. Apache hive used spark/ Tez / MapReduce engines in the backend for computation.
June 02, 2021
Walk into the World of Big Data with Apache Hive
We are using Apache Hive over an on-premise big data setup built on top of Cloud ERA Servers. Use case behind using Apache Hive [it] is query efficient over distributed system and runs queries faster, with parallel execution. We save our metrics such as user info, purchase history, transaction and preferences in HDFS file system and use Apache Hive to query on top of it and run analytics to display output.
December 28, 2020
Reliable and Cheaper one stop Data warehouse solution
I have used Apache Hive in [the] last 3 companies and it's being used by the multiple departments spread across data analytics, engineering, data science and product management.
It's being used for fetching and generating all the product metrics, for fetching legal data whenever required. All the product history data is stored in it,
It's the one stop cheaper solution for storing and fetching all the analytics data
It's being used for fetching and generating all the product metrics, for fetching legal data whenever required. All the product history data is stored in it,
It's the one stop cheaper solution for storing and fetching all the analytics data
September 23, 2020
Big Data the SQL way
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 big data processing, for example: removing urls, finding counts of specific words, etc. Mainly it assisted in all the processing, cleaning on big datasets we collected for our research.
September 21, 2020
Apache Hive: Big data querying tool w/SQL interface, but slower, more costly computation
We use Apache Hive to make data-driven decisions. It is used from finance to engineering to sales. It helps aggregate our massive data sets into distilled information.
September 20, 2020
Hive: When SQL marries with Hadoop
Hive plays a vital role in our company, together with Hadoop storage. It makes the query and aggregation much easier for old DBA background data analyst, while still benefiting a lot from the performance boost brought by Hadoop. It makes big data analysis more feasible and close to the daily business context.
September 19, 2020
Manage data for your warehouse as strong as a beehive using Apache HIve!
As we all know that, Apache Hive sits on the top of Apache Hadoop and is basically used for data-related tasks - majorly at the higher abstraction level. I work as an Assitant Professor at NIE, Mysuru and I am a user of Apache Hive since the first time I taught Big Data Analytics as a PG Course to my students.
It was one of those technical sessions and I was supposed to demonstrate a word count program of a novel downloaded from the Project Gutenberg. I was successfully able to download the novel, load it into the Hadoop platform and execute a HiveQL (a SQL similar syntax used by Apache Hive) query to demonstrate for few unique words, their count, and related examples.
It was one of those technical sessions and I was supposed to demonstrate a word count program of a novel downloaded from the Project Gutenberg. I was successfully able to download the novel, load it into the Hadoop platform and execute a HiveQL (a SQL similar syntax used by Apache Hive) query to demonstrate for few unique words, their count, and related examples.
September 18, 2020
Reliable, cheap and trustworthy!
It is only used in the IT department, mainly by IT engineers, Data Scientists, and Business Analysts with a technical background. It requires some time to master this tool, so this is only for engineer-related positions.
September 18, 2020
Apache Hive: SQL, open-source querying tool
Our company primarily uses Apache Hive to manage our data warehouse by being able to query multiple databases. We partition our tables as well as monitor query performance on very custom data queries by using this hive. Hive is only used by our data analysts and an overseas data warehouse team with only a few shared licenses existing on our virtual machines.
August 29, 2018
My Apache Hive Review
Apache Hive is being used in our company mainly for big data analysis. It has greatly helps us with data processing & analysis. It is being used across the whole organization. The business problem addressed by it is that it has been helping our organization in storing large data sets and easily accessing them.
June 07, 2018
Hive is solid data analytical tool
Hive is currently used in our Data Warehouse in our company. It helps us give more structure to our data and as Hive sits on top of Hadoop, the MR engine. It is a big plus when you want to run a complex query and get faster results. This helps us facilitate the Business Intelligence team to use Hive as a self-querying tool.
March 01, 2018
Hive - SQL-like query engine for big data platform
Hive is not used across whole organization but used by certain teams which require querying data from our big data store infrastructure like HDFS. It provides an interface to interact with and directly query HDFS, similar to the way we do it with any relational databases. It is a powerful tool for querying big data.
February 17, 2018
One of the first SQL on Hadoop tools. Perhaps not the best.
Hive allows us to run SQL queries against data sitting in Hadoop.
December 05, 2017
Apache Hive Faster and Can handle large sets of data
We use hive for analyzing big sets of data and for developing rule-based applications. And also for visualization tools and where we query on large sets of data using hive for desired visualization. Hive is fast and also can be imported/exported using other hadoop components. We can use SQL to access data in hive and with no need to learn a new language.
October 25, 2017
Bringing Structure to your Unstructured Data
1. In Retail, the business partners are more comfortable querying their own data instead of relying on Engineers. Hive solves one of those problems. The main purpose of using Hive is to building reports and do analysis of data that is stored in the Hadoop file system.
2. Events are gathered in HDFS by flume and needs to be processed into parquet files for fast querying. The input data contains variable attributes in the json payload as each customer could define custom attributes.
2. Events are gathered in HDFS by flume and needs to be processed into parquet files for fast querying. The input data contains variable attributes in the json payload as each customer could define custom attributes.