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ClickUp vs Hive comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

ClickUp
Ranking in Project Management Software
14th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
17
Ranking in other categories
No ranking in other categories
Hive
Ranking in Project Management Software
25th
Average Rating
9.0
Reviews Sentiment
7.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Project Management Software category, the mindshare of ClickUp is 1.9%, up from 1.4% compared to the previous year. The mindshare of Hive is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Project Management Software
 

Featured Reviews

AhmadTalha - PeerSpot reviewer
User-friendly, offers a wide range of functions, and enhances collaboration within teams
We use ClickUp's pro solution for team project management. We divide our projects into multiple sprints and organize tasks accordingly. I have created a personal space within ClickUp where I oversee the development and design teams, each with its sections for tasks and stages of progress. This setup helps keep everything organized and ensures smooth collaboration across departments. ClickUp can optimize workflow by integrating with developer tools like Git, allowing seamless access to modules and enhancing collaboration. While I primarily use it for tracking team progress and roadmaps, integration with Git would greatly benefit developers who spend more time within ClickUp. Overall, I would rate ClickUp as a nine out of ten. I would recommend it to others.
Satya Raju - PeerSpot reviewer
A versatile and scalable data warehousing with SQL-like querying capabilities on large datasets stored in Hadoop, offering ease of use, flexibility and compatibility with various data formats
If the use case involves creating a data warehousing solution with complex functionality, data analytics, and extensive querying requirements, especially if there's a need for a data lake, then opting for Hadoop and Spark is advisable. In this scenario, Hadoop with technologies like Hive and Spark can provide the necessary capabilities. On the other hand, if the application's primary focus is on handling large volumes of data without the requirement for complex features, data warehousing, or advanced querying, and if dashboarding visibility is not a priority, then MongoDB could be a suitable choice. Overall, I would rate it nine out of ten.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product has an efficient design."
"The most valuable feature of ClickUp is its AI recommendation."
"ClickUp offers a relatively user-friendly experience, especially when it comes to its fundamental features."
"Stability-wise, I rate the solution a ten out of ten."
"So when I take a note, I have the ability to highlight text and have it transform into a specific part of the note as a task."
"It is a scalable solution. I would rate it a ten out of ten."
"The most valuable feature of ClickUp is the UI scheduling tool. It is the best and most convenient and attractive."
"The simplicity of the tool is valuable because it has categories and subcategories."
"It excels in handling diverse data formats and is particularly beneficial for constructing a data lake for companies with mixed data types, such as videos and structured data."
"It is a good solution for us when it comes to metadata implementation. It's beneficial to have metadata stored in Hive."
 

Cons

"The product is not user-friendly."
"There is a need for significant improvement in the user interface to make it more intuitive and less time-consuming to become familiar with."
"It would be good if the solution facilitated voice calls or an option to chat directly with a person on ClickUp."
"More automation features must be added."
"ClickUp doesn't have a roadmap vision and a proper way of planning."
"ClickUp could improve by being customised to the development industry. We would like to have bug trackers and an agile approach built into the solution."
"ClickUp can improve the UI for mobile devices. For example, they are lacking some features in the Android version, such as Gantt charts."
"The tool is not user-friendly."
"For smaller datasets, it may not be as suitable, and its performance might not be optimal."
"In future releases, I would also like to see AI implementation."
 

Pricing and Cost Advice

"I don't have a lot of information about the pricing, but I know that it is fairly inexpensive."
"The product is expensive."
"It's very affordable."
"The product’s cost is high."
"The product has good pricing."
"I use the free version."
"ClickUp is affordable."
"ClickUp’s pricing is better than Jira Align’s."
"It is an open-source solution."
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Top Industries

By visitors reading reviews
Healthcare Company
13%
Computer Software Company
13%
Educational Organization
6%
Performing Arts
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about ClickUp?
Everything in one place is the biggest benefit. I also like the diagramming tools, where you can create DFDs, structure charts, and more. That makes things easier.
What is your experience regarding pricing and costs for ClickUp?
I rate the pricing a five out of ten. ClickUp is affordable. We pay a yearly fee.
What needs improvement with ClickUp?
They should explain better how costs and licensing are distributed. They auto take money from the credit card without notification for a while.
What do you like most about Hive?
It excels in handling diverse data formats and is particularly beneficial for constructing a data lake for companies with mixed data types, such as videos and structured data.
What needs improvement with Hive?
For smaller datasets, it may not be as suitable, and its performance might not be optimal.
 

Comparisons

 

Overview

Find out what your peers are saying about ClickUp vs. Hive and other solutions. Updated: June 2025.
857,028 professionals have used our research since 2012.