ConceptDraw PROJECT is a project management tool providing a set of options to plan
and implement projects successfully, and belongs to the ConceptDraw OFFICE suite. The core features of the tool are task and resource management and reporting, along with change control. The vendor says managing multiple projects is simple due to the Gantt Chart and Multi-Project Views and shared Resource Pool. Tasks that occur on a…
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Hive
Score 8.4 out of 10
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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
Pricing
ConceptDraw PROJECT
Hive
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ConceptDraw PROJECT
Hive
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Price varies for Individual, Commercial, Academic, Nonprofit and Government
Getting started - using the Gantt chart to enter tasks in any order and then using those tasks to initially define a MindMap to further explore alternative dependencies. The alternative works better when initiating a project with significant unknowns.
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.
Integration with ConceptDraw Mindmap makes work breakdown very easy.
We have cross-functional teams where team members often work on different projects in parallel. The multi project management feature has been a blessing over these years.
Another import feature is the availability of many different predefined report generation templates that made it very easy to communicate different aspects of the project to different stakeholders.
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
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.
ConceptDraw has a much simpler licensing and pricing model. Perpetual license and ability to use in offline mode was an important criteria for us. Perfect bundle for small and medium business.
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.
