Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$24
per month per user
Orangescrum
Score 7.0 out of 10
Mid-Size Companies (51-1,000 employees)
Orangescrum is an enterprise project & operations management platform purpose-built for organizations that demand compliance, secure execution, high workforce efficiency, and full delivery control — including PSUs, Government departments, Manufacturing units, Construction companies, ITES, and Shared Services organizations. By digitizing processes, approvals, and reporting in one secure workspace, Orangescrum strengthens accountability, eliminates delays, and ensures every program stays…
$4.99
per month per user
Pricing
Hive
Orangescrum
Editions & Modules
Free
$0
Lite
$24
per month per user
Growth
$34
per month per user
Pro
$59
per month per user
Elite
Contact Sales
Startup
$4.99
per month per user
Professional
$9.99
per month per user
Enterprise
Contact Sales
Startup
starting at $2454
per year 50 users (minimum)
Professional
starting at $4914
per year 50 users (minimum)
Enterprise
starting at $9600
per year 50 users (minimum)
Offerings
Pricing Offerings
Hive
Orangescrum
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
A discount is offered for annual pricing.
—
More Pricing Information
Community Pulse
Hive
Orangescrum
Features
Hive
Orangescrum
Project Management
Comparison of Project Management features of Product A and Product B
Hive
9.1
15 Ratings
16% above category average
Orangescrum
8.1
1 Ratings
4% above category average
Task Management
9.015 Ratings
10.01 Ratings
Resource Management
9.015 Ratings
10.01 Ratings
Gantt Charts
10.014 Ratings
10.01 Ratings
Scheduling
7.014 Ratings
7.01 Ratings
Workflow Automation
9.014 Ratings
5.01 Ratings
Team Collaboration
10.015 Ratings
10.01 Ratings
Support for Agile Methodology
10.012 Ratings
9.01 Ratings
Support for Waterfall Methodology
8.011 Ratings
00 Ratings
Document Management
10.013 Ratings
6.01 Ratings
Email integration
10.013 Ratings
5.01 Ratings
Mobile Access
8.011 Ratings
10.01 Ratings
Timesheet Tracking
10.09 Ratings
10.01 Ratings
Change request and Case Management
10.011 Ratings
00 Ratings
Budget and Expense Management
7.09 Ratings
5.01 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
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.
This is a good thing for medium/large companies for inside the company and/or for interacting with remote employees/freelancers. As the program facilitates the interaction between employees and managers it speeds up the distribution of tasks and allows managers to identify possible problems on the fly. For indie developers - it's a little expensive.
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.
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.
Trello was excellent, but we did not choose it because of the price and relatively positive feedback from employees using Orangescrum who wanted the easiest and fastest way to create reports so as not to be distracted from work (as a two-click report).