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Hive vs LiquidPlanner 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
LiquidPlanner
Ranking in Project Management Software
33rd
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Project Management Software category, the mindshare of Hive is 0.7%, up from 0.2% compared to the previous year. The mindshare of LiquidPlanner is 0.8%, up from 0.4% 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.
PG
Good for reporting, but a little rigorous in its methodology and not conducive to real project management
It is a little rigorous in its methodology and is cumbersome. For example, I have a hard stop date and I would like a project to end by a specific date, but this is not how this solution works. It sorts of spits out the project date based on your resource availability, dependencies, and so on. This sort of project planning works in theory, but that's not always the case. It also relies heavily on resources entering their time into the system, that is, how much time they worked on each of the tasks so that it can sort of consistently update the project. I know that in a lot of organizations, including ours, it is almost impossible to get them to track the time. In terms of additional features, they can include more integration with Microsoft because integration is going to be a key functionality.

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."
"Its dashboards and reports are the most valuable. We are able to share these reports and other information with our leadership."
 

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."
"It is a little rigorous in its methodology and is cumbersome. For example, I have a hard stop date and I would like a project to end by a specific date, but this is not how this solution works. It sorts of spits out the project date based on your resource availability, dependencies, and so on. This sort of project planning works in theory, but that's not always the case. It also relies heavily on resources entering their time into the system, that is, how much time they worked on each of the tasks so that it can sort of consistently update the project. I know that in a lot of organizations, including ours, it is almost impossible to get them to track the time. In terms of additional features, they can include more integration with Microsoft because integration is going to be a key functionality."
 

Pricing and Cost Advice

"It is an open-source solution."
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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.
Ask a question
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Comparisons

No data available
 

Overview

 

Sample Customers

Information Not Available
Amazon, Redapt, Toshiba, LinkedIn, Nintendo, Massachusetts Institute of Technology, Cummins
Find out what your peers are saying about Hive vs. LiquidPlanner and other solutions. Updated: April 2025.
847,625 professionals have used our research since 2012.