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Hive vs Teamwork 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

Hive
Ranking in Project Management Software
22nd
Average Rating
9.0
Reviews Sentiment
7.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Teamwork
Ranking in Project Management Software
21st
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Project Management Software category, the mindshare of Hive is 0.7%, up from 0.3% compared to the previous year. The mindshare of Teamwork is 0.8%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Project Management Software
 

Featured Reviews

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.
Taha Khaleel - PeerSpot reviewer
A flexible, stable, and scalable tool requiring an easy initial setup phase
The screen sharing provided by the solution can be a challenge to a user. Screen sharing is an area that needs improvement in the solution. With the buttons or the options on the screen in Teamwork, it is important to provide users with a little description of what each option does so that it helps you do your work easily without focusing on the interface.

Quotes from Members

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

Pros

"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."
"Teamwork has made process management easier and much better. It is very robust and improves by making a lot of changes. It is easy to use and has lots of reports."
"It is a very stable solution...The initial setup of Teamwork is easy."
"The setup was very easy. Deployment was very fast for us. We started using it within two weeks."
 

Cons

"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."
"The product is expensive. It needs to have a more robust and customizable calendar."
"The product could be improved with more integrations and a mobile app."
"The screen sharing provided by the solution can be a challenge to a user. Screen sharing is an area that needs improvement in the solution."
 

Pricing and Cost Advice

"It is an open-source solution."
"We negotiate on pricing since we are a long-term user."
"My company makes annual payments towards the licensing costs of the solution."
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Top Industries

By visitors reading reviews
No data available
Educational Organization
43%
Financial Services Firm
11%
Computer Software Company
11%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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.
What do you like most about Teamwork Projects?
Teamwork has made process management easier and much better. It is very robust and improves by making a lot of changes. It is easy to use and has lots of reports.
What needs improvement with Teamwork Projects?
The product is expensive. It needs to have a more robust and customizable calendar.
What is your primary use case for Teamwork Projects?
We use the product to design online courses. It also helps us with media production and marketing.
 

Comparisons

No data available
 

Overview

 

Sample Customers

Information Not Available
PayPal, eBay, Disney, Forbes, Microsoft studios, Spotify Vevo, Lenovo, HP, Honda
Find out what your peers are saying about Hive vs. Teamwork and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.