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Hive vs Planview Daptiv comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
9.0
Reviews Sentiment
7.4
Number of Reviews
2
Ranking in other categories
Project Management Software (24th)
Planview Daptiv
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
12
Ranking in other categories
Project Portfolio Management (16th)
 

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.
Antonio Lira - PeerSpot reviewer
Do not be afraid to migrate to cloud solutions
I started using Daptiv PPM at SAP R/3, 22 module implementation, with over 80 functional team members, in different geographic locations. It definitely gave us the opportunity to centralize all schedules per module and assemble work teams for each subproject, binding them with co-dependent tasks in other modules. This type of tool allowed us to finish the back office stage just a week behind the original baseline, a real record for SAP R/3 implementation.

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."
"Changepoint gives us a view of the project status and needs very clearly, which are things that we used to miss with MS Project and Excel."
"It's difficult to pinpoint just one most valuable feature, as there are many features that can be beneficial. For the specific use case of my client's project management office, they found the project management features of the application to be particularly valuable, such as project boards, reporting, and the ability to customize views. Additionally, task management and project scheduling were also highly utilized. However, capacity planning was not used as much as the others, as there was a lack of support from executives to invest in training and implementing it due to a lack of processes in place. The project planning features, dashboard, and reporting capabilities were considered the most valuable."
"The powerful collaboration is definitely the most valuable and the fact that you can adjust flexibility to almost any methodology, and the easy creation of complete new functionalities without programming code."
"The timekeeping features are great and very helpful."
"I like the reporting engine, IBM Cognos, especially the analytics. That's a good tool. It's quite strong on the ideation and capacity-planning side, which is a huge plus."
 

Cons

"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."
"It would also be nice to see some improvements on the IBM Cognos Analytics. There's still work to be done on the analytics side of things, like your condition formality."
"The areas that should be improved in Planview Daptiv are a subject that can be viewed differently depending on who you ask. I feel they should focus on excelling in one specific area rather than providing average capabilities in many areas. For example, their project planning software is satisfactory but not as advanced as Microsoft Projects. The same goes for the capacity planning tool and reporting capabilities, which can be improved upon by using custom Excel spreadsheets or by hiring a business analyst for additional support. In short, the biggest weakness of Daptiv is that it does not excel in any one area and only provides average performance."
"I find the solution has an excessive amount of features. Many aren't even kept current. Some aren't useful at all. There's an overall lack of coherence within the solution. It can make the execution difficult. Many features can easily be eliminated and it would help streamline the solution. They should get rid of 80% of the features and then really focus on the leftover 20% to make it a really great product."
"This solution needs more standard connectors to other solutions."
"Expense management, simulation scenarios, and budget control could be great and useful features to include."
 

Pricing and Cost Advice

"It is an open-source solution."
"It's a yearly license, but it's not an open license. It's based on users and their roles. So your administrator is priced differently from your timesheet user."
"The licensing is pretty complex. Each kind of user is a different price. It's approximately $300 per year. They charge additional fees for technical support and other additional services."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
25%
University
9%
Government
8%
Real Estate/Law Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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.
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Comparisons

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Overview

 

Sample Customers

Information Not Available
AOS Studley, Austrian Airlines, bpost bank, Employees Provident Fund, Stena Metall, VitalityHealth, Precor
Find out what your peers are saying about Hive vs. Planview Daptiv and other solutions. Updated: April 2025.
850,236 professionals have used our research since 2012.