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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
13th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Hive
Ranking in Project Management Software
23rd
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 August 2025, in the Project Management Software category, the mindshare of ClickUp is 2.0%, up from 1.3% compared to the previous year. The mindshare of Hive is 0.7%, up from 0.4% 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."
"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."
"It gives reminders for important project dates and when a particular task is about to close."
"The most valuable feature of ClickUp is its AI recommendation."
"The tool is pretty intuitive."
"The simplicity of the tool is valuable because it has categories and subcategories."
"The most valuable feature of ClickUp is the UI scheduling tool. It is the best and most convenient and attractive."
"Stability-wise, I rate the solution a ten out of ten."
"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

"More automation features must be added."
"The product is not user-friendly."
"ClickUp's interface needs improvement."
"The cloud-based solution can get bugs in it occasionally, causing latency and loading issues."
"There is a need for significant improvement in the user interface to make it more intuitive and less time-consuming to become familiar with."
"ClickUp could improve by streamlining its functions and organizing them better for easier access."
"They should explain better how costs and licensing are distributed."
"ClickUp doesn't have a roadmap vision and a proper way of planning."
"In future releases, I would also like to see AI implementation."
"For smaller datasets, it may not be as suitable, and its performance might not be optimal."
 

Pricing and Cost Advice

"ClickUp’s pricing is better than Jira Align’s."
"ClickUp is affordable."
"This solution costs $20 per user per month. If you have 20 users, you would pay $400 per month. There are no hidden fees that we are aware of."
"It's very affordable."
"I use the free version."
"The product is expensive."
"I don't have a lot of information about the pricing, but I know that it is fairly inexpensive."
"The price of ClickUp is reasonable. The price is approximately eight dollars per month per person."
"It is an open-source solution."
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Top Industries

By visitors reading reviews
Healthcare Company
13%
Computer Software Company
9%
Outsourcing Company
7%
Financial Services Firm
7%
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: July 2025.
865,384 professionals have used our research since 2012.