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
Paymo
Score 8.2 out of 10
N/A
Paymo is a collaborative work management platform that helps track team progress, collaborate in context, and make smarter decisions. It acts as a single source of truth, where project planning, resource scheduling, file proofing, time tracking, and billing feed into each other to co-exist under the same roof.
$0
Up to 10 users
Pricing
Hive
Paymo
Editions & Modules
No answers on this topic
Free
$0
Up to 10 users
Small Office
$11.95
per user/per month
Business
$18.95
per user/per month
Offerings
Pricing Offerings
Hive
Paymo
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Free version available for freelancers.
More Pricing Information
Community Pulse
Hive
Paymo
Considered Both Products
Hive
No answer on this topic
Paymo
Verified User
Project Manager
Chose Paymo
Similar in almost all project management aspects... Paymo seems to have a slight edge in invoicing and reporting. They are also adding new features regularly so that (in our opinion) makes the investment worth it. Customer support has also been terrific. Easy onboarding process …
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.
Beautiful interface throughout, easy setup, most natural progressions are fluid and easy to use. Browser functionality allows us to use it cross-platform. Very reasonable pricing model as well. We have had a little trouble using Paymo for the entire creative process to have proofs reviewed and approved. Also, have to use external forms to have work submitted from campus.
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
The ability to code exactly what time I worked on a project enables me to bill clients more accurately and within different minimums, which besides more accurately tracking time, this has been extremely helpful as I negotiate contracts for services and offer different deals with potential clients. Some are billed to the minute, some in 15-minute minimums, and some in 20-minute blocks.
The live reports are great, showing time spent in the minimums that I've set, while also including as much detail as I wish to share.
I've now started just writing my notes into the tracker, which are then carried into the live reports - this eases my needing to send logs to clients, as well as helping me to keep projects on track.
It would be really helpful if on the timer tool, they asked you to switch projects when you stop the timer, so it could fill that time in right away for you.
I never use the 'My Tasks' because I don't fully understand how to integrate it to be useful to what our purposes are in Paymo. Some Youtube tutorials might be helpful
It is a complete, a bit overambitious app but with many features that are needed. I didn't need most of the features but managed to make the most of the two I was using. Also, I think it is a well-rounded app and I am considering moving some team collab there.
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.
Good! Fast, excellent, speedy responses. They always wanted to know why and how they could improve on something (good on receiving feedback, too). Not that they were much needed, but my limited experience with them is good; they were really keen to understand what the problem was really about and how they could help with it.
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.
We still use Trello and Slack, but Basecamp and HubSpot are too much for our operation to manage or integrate. Paymo is missing some of the tracking features of HubSpot and isn't as universally used as Basecamp but we've been with them for 8 years and they seem to know what matters most to their user base
Gives me more accurate time that I've spent on projects compared to older methods I've used.
Has data that I can pull together, for example my boss wanted to know the percentage of time I'd spent working on projects for one client compared to everything else - I was able to give them an accurate percentage.
Forces you to stay on top of jobs, which can lengthen the time to complete something
