10,000ft is a high-level resource planning and insights tool for project management that serves as visual resource planning software.
$9
per month per user
Hive
Score 8.4 out of 10
N/A
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
10000ft
Hive
Editions & Modules
Pro
$9
per month per user
Business
$32
per month per user
Enterprise
Contact Sales
per month per user
No answers on this topic
Offerings
Pricing Offerings
10000ft
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
If billed yearly, Pro version is offered at a discounted rate of $7/user/month and Business is offered at $25/user/month.
I think 10000ft is good for bare minimum project monitoring, we used it a large company because we didn't need to have exact numbers - it was just a rough idea to see where freelance resources were over burning. If, however you work a much smaller company and really need to know detailed information it's not as effective, there are many other software options that really allow for much closer and precise tracking. I would recommend 10000ft for companies that just need to monitor large freelance teams, track hours and higher level projects that are also monitored on other project management tools. It's a tool I would only use in conjunction with something else.
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.
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
I think there's limited uses for the tool and much more comprehensive options out there for multiple tools in one. With more people working remotely, it's hard to just use email and face to face, in some ways you need to have a tool that's a fall back and a record of where you are + where you're going
They have been super responsive every time we need them. We built ourselves some integrations with other internal systems, and whenever we needed clarification or help to complete said integrations, they were super responsive. They have a very technical background which makes it super easy to work with when you present to them technical challenges regarding integrations or the use of their API.
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.
