Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$12
per month per user
Planview Daptiv
Score 7.7 out of 10
N/A
Planview Daptiv is a cloud-based project portfolio management (PPM) solution that is now owned by Planview since the January 2021 acquisition of Changepoint). Planview Daptiv PPM covers diverse needs like Portfolio Management, Project Management, Resource Management and Office Management functionalities to larger business enterprises across diverse industries, and therefore offers a wide range of features achieving this, such as a resource load charts (e.g. Gantt charts), an easy to use DeskDocs…
Hive is a powerful tool for data analysis and management that is well-suited for a wide range of scenarios. Here are some specific examples of scenarios where Hive might be particularly well-suited: Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation.Simple queries on large datasets: Hive is optimized for simple queries on large datasets, making it a good choice for tasks such as data exploration and summary statistics. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. On the other hand, here are some specific examples of scenarios where Hive might be less appropriate: Real-time queries: Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. While it is possible to use Hive for real-time queries, it may not be the most efficient choice for this type of workload. Complex queries: Hive is optimized for simple queries on large datasets, but may struggle with more complex queries or queries that require multiple joins or subqueries.Very large datasets: While Hive is designed to scale horizontally and can handle large amounts of data, it may not scale as well as some other tools for very large datasets or complex workloads.
I would recommend Daptiv for anyone who is look for a collaborative tool that is easy to use and provides excellent results for project management and resource allocation. The tool offers many various capabilities and is not isolated for use with one or two workgroups. Its versatility allows many workgroups across many different organizations to use it. In my previous role, I used Daptiv in both a Project Management and Account Services Information Technology role. In my current workplace, I would like to leverage Daptiv for Product Launch and tracking as well as change request visibility in the Release Management Organization of a pharmaceutical company. Both roles and companies are vastly different however Daptiv would serve a great purpose in both situations although my needs are different.
Simplicity, it offers a clean environment without risking the outcome. An example of this are the timesheets that allow a fast way to keep track of progress
Interaction, the different options make it faster and easier to interact and collaborate in the development of a product. An example of this would be Hive Notes for meetings
The different visualisations it offers allow to explore the best ways to affront your projects. I really like the Gantt mappings view to understand who can be contacted at each point
As previously mentioned, we were not able to get the product to solve our particular problem. After time spent implementing a custom solution, it was the decision of the executive team to discontinue the agreement. The costs of training the team didn't outweigh the cost of hiring an employee to do the translation of schedules to web view.
Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.
Hive is a bit different than Jira and Monday, which I used mostly. Overall does a great job managing project and helps with team communication. Removes dependency of asking team members for updates by going to conference rooms. With Hive, the team updates the status, and we can easily track it.
AdaptiveWork might not necessarily have robust Analytical abilities that Daptiv IBM Cognos BI tool have, but from the introduction I have seen of the product it has impressive capabilities. It is still work in progress and still learning about AdaptiveWork and looking forward to implementing and supporting it in the near future.
I am in the process of establishing a hard dollar ROI received from Daptiv. However, there have been many soft dollar benefits we have achieved. Soft benefits include IT teams that are more aligned to business objectives, "one version of the truth" for where work is being performed and resources consumed, and more accurate estimation of project requests.
