# Apache Hive Software Pricing, Alternatives & More 2026 | Capterra

> With the help of Capterra, learn about Apache Hive Software - reviews, pricing plans, popular comparisons to other ETL products and more.

Source: https://www.capterra.com/p/170238/Apache-Hive/pricing

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# 

 Apache Hive Software Review 2026: Features, Integrations, Pros & Cons

Last updated on March 13, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Pricing](#pricing)[Support](#support)[Reviews](#reviews)

Apache Hive

## What is Apache Hive?

ETL solution that allows users to execute query to large datasets, located in Hadoop, aggregate it, and provide analysis of data.

## What is Apache Hive used for?

[ETL](https://www.capterra.com/etl-software/)

Overall rating

Based on 17 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

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## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Apache Hive

4.2 (17)

VS.

[### Cloudiway](https://www.capterra.com/p/172428/Cloudiway/)

[4.8 (124)](https://www.capterra.com/p/172428/Cloudiway/reviews/)

Starting Price

Contact vendor

Starting Price

$1

Flat Rate, One Time

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.1 (17)

Ease Of Use

4.8 (124)

Value For Money

4.5 (11)

Value For Money

4.7 (121)

Customer Service

4.2 (11)

Customer Service

4.6 (116)

## Apache Hive alternatives

Highest Rated

[Ab Initio](https://www.capterra.com/p/234271/Ab-Initio/)

[5.0 (1)](https://www.capterra.com/p/234271/Ab-Initio/#reviews)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/234271/Ab-Initio/)

[Talend Open Studio](https://www.capterra.com/p/246747/Talend-Open-Studio/)

[4.6 (14)](https://www.capterra.com/p/246747/Talend-Open-Studio/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/246747/Talend-Open-Studio/)

[Kdetools](https://www.capterra.com/p/179670/kdetools/)

[1.0 (1)](https://www.capterra.com/p/179670/kdetools/#reviews)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

0%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/179670/kdetools/)

## Pricing

Value for money

4.5 (11)

### Starting price

Contact vendor  
for pricing

Free trial  
not available

Value for money

4.5 (11)

4.5

Based on 11 reviews

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## Support, customer service and training options

Customer Service

4.2 (11)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.2 (11)

4.2

Based on 11 reviews

## User reviews

Overall rating

4.2

Based on 17 reviews

Filter by rating

5(5)

4(11)

3(1)

2(0)

1(0)

Mentioned topic

Sorted by most recent

VP

Vidya P.

Bidata engineer

Information Technology and Services

### "Hive is the goldmine for data enthusiasts"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

April 27, 2025

Overall Hive emerged as a great query engine with distributed processing and very capable for data analytics

Pros

Hive is a great capable data warehouse tool for data analysis and performing etl transformations at large scale

Cons

Hive processing is not very efficient in producing faster runs in line with other emerging tools like spark

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SA

Samuel A.

Software

Telecommunications

### "Power of Big Data with SQL "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

May 19, 2023

Pros

Apache Hive is a great tool that helps us work with a lot of data easily. It's very good at dealing with different kinds of data, both organized and messy. It uses SQL, a simple language most people already know, and can handle large amounts of data well.

Cons

Hive can be slow sometimes. It's not great for certain types of jobs like OLTP. There are also some problems with updating data and we could use better learning resources. Hive could also be better at dealing with data in real-time.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

BigData Engineer

Information Technology and Services

### "A useful Data Warehouse for all the BigData enthusiasts"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

3.0

3.0

Likelihood to Recommend

7/10

February 14, 2023

Basically you can store all the data that is structured in Hive built on top of Hadoop, that enables to store data easily and query them using SQL

Pros

It is simple to use as it really feels like a Database with its SQL like framework that easily parses queries behind the scenes into Mapreduce capable of supporting both internal and external data tables. It assins data to the machines in a cluster for faster performance with fault-tolerant capability to protect data at all cost.

Cons

Hive looks for data in the local machine and not HDFS, so there is no direct way to transfer files/data from local machine to HDFS (need to use external application). Execution time is not so fast as it takes a long time especially when there is a usage of joins in the queries as it relies on external disc space compared to Spark that uses in-memory space leading it to be more faster than hive. When hive is restarted, all the metadata gets erased.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AU

Anonymous User

Data Analytics Manager

Logistics and Supply Chain

### "Reliable for big data processing but a bit outdated"

4.0

Overall Rating

4.0

4.0

Ease of Use

3.0

3.0

Features

3.0

3.0

Customer Service

0.0

0.0

Likelihood to Recommend

6/10

June 20, 2022

We're able to rely on Hive for processing very large volumes of data.

Pros

Reliability has been the strongest aspect of Hive. In terms of capacity for processing large volumes of data, Hive gives us the best option when we're more concerned about success of our batch jobs than speed of execution.

Cons

Speed. Hive is a bit slower compared to other memory-based big data processing engines like Spark or Presto.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

System engineer

Information Technology and Services

### "How apache hive can be used in bigdata nowadays."

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

6/10

May 30, 2022

In hive i have worked in my organization for analysing the data and gives the graph chart to clients for taking the business decision. Based on the requirements we have made the graphical representation of data .

Pros

Hive is data warehouse where we can stores our data and perform analysis on that in larger scale. It gives superior scalability and flexibility for data analysis. hive data warehouse use cost effective. We can set timing to set up the duration of data warehouse on timing. So its a cost saving features while you use it for a larger scale data analysis.now hive mainly used in bigdata for managing large scale of data.

Cons

Hive is not ment for real time data analysis which is a big limitation for this warehouse.transaction processing data are not supported in hive data warehouse whice i feel its not ment for real time data analysis.

Reasons for choosing Apache Hive

Its gives more scalability and it is cost effective.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Diego S.

Applied Data Scientist

Marketing and Advertising

### "The Bigdata DatawareHouse that works seamlessly with Spark!!"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 21, 2021

Apache Hive has solved us the need of doing repetitive transformation over the final clean tables processed by our ETL process for all our analytical and business analytics tasks, now that we have the Data Warehouse in place we no longer have to extract summary extracts or perform any repetitive queries we did in the past, now we have designed a robust star schema with the main KPIs and calculations with all the look up tables we need and all without switching from technology or framework all in the same Apache Spark project!!

Pros

I love how easy is to integrate Apache Hive with Spark and perform SQL queries as if the tables were stored on Hadoop or S3 or GCP buckets. It is also very familiar to Spark users of tables stored on other file systems since it is based on the same storage (Hadoop HDFS) as regular Spark. And the best feature is that it is open source!! So, no extra cost for licensing!!

Cons

One thing is regarding its limitation of only being able to work with structured data and only being able to query tables, but for the regular use we do on our company it is more than enough (we do not have much unstructured data anyways).

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

Data Specialist - Big Data and Analytics

Information Technology and Services

### "Apache Hive: Great for large scale batch workloads"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

10/10

January 13, 2021

Overall, I'm pleased with using Apache Hive for processing large big data workloads and recommends it for using batch processing.

Pros

Good for large scale ETL/ELT batch workloads SQL like syntax Good integration with Hadoop and Cloud technologies Ability to support customer UDFs High throughput and support for Spark. Tez and MR as an execution engine. Great support for different file formats (both row and columnar)

Cons

Not much support for data caching out of the box that results in larger processing time and high latency for interactive querying for data analysis.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AU

Anonymous User

Consultant

Computer Software

### "Is Hive still relevant?"

4.0

Overall Rating

4.0

4.0

Ease of Use

3.0

3.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

5/10

November 21, 2020

It's definitely better than writing map reduce code, but cloud based MPP solutions like BigQuery, Redshift and Snowflake do a much better job at making it easier to process big data with SQL.

Pros

Originally, Hive acted as an abstraction layer that translates SQL to map/reduce jobs. It still does this to this day, but it is also able to translate SQL to other engines that run on top of Hadoop. It also adds schema management on top of HDFS which, being the first schema management laysqer on top of HDFS, is used with other SQL on HDFS systems such as Presto, Impala and others.

Cons

The real problem is that in addition to learning Hive, you'd have to actually understand the underlying processing engines and how to tweak or tune them or what their obscure errors actually mean.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AU

Anonymous User

VP

Financial Services

### "Great Way to query your Non-sql Data in a Sql Way!"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

9/10

October 10, 2020

Overall I just loved using Hive which integrates so well with Hadop and also Spark capabilities.

Pros

\- Integration with Hadoop/HDFS file system - SQL like querying capability makes it easy to query/group/slice data which is difficult to do using traditional map reduce programs

Cons

\- Little learning curve required in terms of loading the data from HDFS to tables, concept of external/managed tables, etc.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

RY

Rajasekhar Y.

Software developer

Information Technology and Services

### "Review on Apache Hive "

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

3/10

October 1, 2020

I would strongly recommend for others to use their projects for better performance and good experience

Pros

I’m using Apache hive for my current project based on my experience l would like write few good features about the software as its very sophisticated software for warehouse projects to providing data query and analysis and it gives SQL interfaces to query data stored in different databases .

Cons

Give us very faster for retrieving data and loading data .It’s being used for integrate file system integrated with Hadoop.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

[View all Reviews](https://www.capterra.com/p/170238/Apache-Hive/reviews/)

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