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Hive
4.2
(59)
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Hive Pricing Overview

Hive Pricing Plans
Free trial
Free plan
Subscription
Hive has 3 pricing plans, from $0.00 to $. A free trial of Hive is also available. Look at different pricing plans below and see what tier and features meet your budget and needs.
Solo
$0.00
per seat/ month
Teams
$16.00
per seat/ month
Enterprise
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Pricing information was last updated on February 18, 2024
Pricing information for Hive is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Hive must be conducted with the seller.

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Hive Pricing Reviews

Enterprise (> 1000 emp.)
Jul 23, 2019
 Source
Overall Rating:
4.5
EL
Elisa L.
Software Engineer
Share
"O Hive torna a consulta no HDFS muito mais fácil, mas não otimizada nem rápida o suficiente"
What do you like best about Hive?
Caso contrário, se você escrevê-lo como um SQL normal, pode levar horas para processar Mas é um pouco diferente do padrão SQL Pessoalmente falando, eu uso hive principalmente para ad hoc quires e relatórios é um software de armazenamento de dados que facilita a consulta e gerenciamento de grandes conjuntos de dados residindo em armazenamento distribuído
What do you dislike about Hive?
O ajuste de desempenho é difícil e torna-se difícil para consultas complexas, ele ainda tem alguns bugs, como todos os dados que vão para um único redutor, o que pode levar a retardar os resultados da consulta. -> Algumas das operações SQL não funcionam na colméia, como as associações de não igualdade, os dados não podem ser atualizados, mas teremos que reescrever
What problems is Hive solving and how is that benefiting you?
Estamos desenvolvendo o Hive Para pessoas que estão acostumadas a escrever consultas SQL, seria muito bom usar o Hive em cima do hadoop para arquivos armazenados no HDFS. Atividade do Dumping Site Dados de streaming de Big Data, bem como logs de dados no Hive Estamos desenvolvendo o Hive
Enterprise (> 1000 emp.)
Apr 24, 2015
 Source
Overall Rating:
4.5
PK
Pradeepkumar K.
Big Data Engineer
Share
"For all the batch operations!"
What do you like best about Hive?
The syntax of hive! Its almost SQL so its easy to use. External tables, partitions, buckets, UDFs all the features I like to use with hive. ORC data format occupying lesser space and retrieving the data much faster. Learning curve looks easier as it is similar to SQL but hold on! you must learn all the features of hive before writing a big hql to join multiple hundreds GBs tables and fetch results. Otherwise if you write it like a regular SQL it may take hours to process. So hive is always at its best when you set the optimization parameters before you run your scripts. Also its complex datatypes make hive more useful than other RDBMS.
What do you dislike about Hive?
Hive is comparatively slower than its competitors. Its easy to use but that comes with the cost of processing, If you are using it just for batch processing then hive is well and fine.
What problems is Hive solving and how is that benefiting you?
Generating datasets from huge files for reporting purposes.
Enterprise (> 1000 emp.)
Jul 17, 2015
 Source
Overall Rating:
2.5
Bharadwaj (Brad) C. avatar
Bharadwaj (Brad) C.
Director Of Engineering/Head Of Reliability Engineering
Share
"One among many to do ETL"
What do you like best about Hive?
Hive syntax is almost like sql, so for someone already familiar with sql it takes almost no effort to pick up hive. But there are other tools that can do the same thing faster these days. Hive initially was really good to have; but more and more projects are now available to do SQL like operations on Big Data (like Drill).
What do you dislike about Hive?
Hive is comparatively slower than its competitors. Its easy to use but that comes with the cost of processing, If you are using it just for batch processing then hive is well and fine. It also does not have as rich of a scripting language.
What problems is Hive solving and how is that benefiting you?
In Retail, the business partners are more comfortable querying their own data instead of relying on Engineers. Hive solves one of that problems. The main purpouse of using Hive is to building reports and do analysis of data that is stored in the Hadoop file system.
Mid Market (51-1000 emp.)
Jul 14, 2015
 Source
Overall Rating:
5.0
AG
Verified Reviewer
Share
"Great experience!"
What do you like best about Hive?
The progression of features, speed, etc brings me the strategic confidence I need in the SQL in hadoop space.
What do you dislike about Hive?
At this point, everything is on pint & theories it is great in hive 1.2
What problems is Hive solving and how is that benefiting you?
Deriving value from masses of unstructured & structured data.
Mid Market (51-1000 emp.)
Jan 04, 2018
 Source
Overall Rating:
4.0
AG
Verified Reviewer
Share
"HIve Review - Data Science Perspective"
What do you like best about Hive?
Hive is the best out there for answering ad-hoc queries in parallel paradigm. It works very well with Hadoop Echo system (mainly integrates perfectly with HDFS). - Easy to use as it implements most of SQL functions.
What do you dislike about Hive?
- Needs more optimization for complex queries (like caching, auto-partitioning,etc ...) to speed up the latency of the queries. - Tuning the hive parameters is really challenging for the users. The default settings don't work with the large queries. - Hive is perfect if 90-95% of the queries are read-only. It is not suitable for applications with heavily updates
What problems is Hive solving and how is that benefiting you?
Get quick insights from big data in case of the customers' data don't fit on one machine. It helps a lot for data preparation (i.e. creating temporary tables), that can be consumed by other machine learning solutions like Spark to build machine learning models that add more business values.