ClickUp is an all-in-one productivity platform. It’s a hub where teams can come together to plan, organize, and collaborate on work using tasks, Docs, Chat, Goals, and Whiteboard. Customized with just a few clicks, ClickUp helps teams of all types and sizes deliver work more effectively, to boost productivity to new heights. ClickUp aims to make the world more productive by removing friction caused by using many different applications. The platform boasts millions…
$0
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.
Great for project management, reoccurring task management, building trackers and keeping track of what everyone is up to. Like all software that has great functionality, having solid governance and control over access is essential. I recommend ensuring that your admins/owners have a close eye on what is going on across the space or it can turn into an unmanageable nightmare.
Hive is great for managing projects with your team. Assigning tasks is simple enough using Hive. It helps manage team goals for the projects. We are able to create reports (via the dashboard) for the progress and updates to provide to the team based on completed stages. Works great for bigger projects.
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.
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.
Integration with other tools: Hive integrates with a wide variety of other tools and services in the Hadoop ecosystem, such as Pig, Spark, and HBase, allowing users to perform a wide range of data analysis and management tasks.
We're very pleased with how the system works in general. For over a year we've barely ever had any problems with ClickUp and there might have only been one or two times when it wasn't operational for us due to a global emergency. Moreover, when we had a problem once with renewing our licenses we've been contacted directly by our account manager and taken care of in a very professional way (with a due refund as well). The exceptional customer service makes us firmly believe that ClickUp is just the right tool for us.
Far easier to use than any other PM tool. ClickUp is incredibly intuitive and had us saving time and energy within the first week of implementation. In my opinion, PM software should make it easier to focus on the deliverables - it shouldn't take all your time and energy to learn how to use the tool in the first place. ClickUp is a user-friendly tool that actually helps us focus on what's important.
For over a year ClickUp was unavailable to us just twice for a couple of hours. I would say for a system this big and working globally that was a minor issue. They managed to fix all the issues within a couple hours and then it was back up and running perfectly fine.
The speed of ClickUp is average to be honest. This is one of the biggest flaws of the system, sometimes it's also lagging a little bit but we also have a lot of documents, lists etc. on our workspace. However, with the next version of ClickUp I've seen they are planning to increase the speed by almost 500%, probably by changing the technology, so I am more than looking forward to it.
Support are genuinely helpful and really nice to deal with. I had a bug on my workspace that I’d been experiencing for a while. They looked into it for me and asked some questions. Once they found the issue and resolved it, they even filmed a video detailing how they’d fixed it. That level of support is fantastic.
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.
There are multiple guides on literally all of the functions you can find within the system, therefore it's easy to learn anything you'd really like to use, starting from project and people management, down to Gantts, mind maps, time tracking, inviting Clients as guests to work with you on the projects and so much more.
Start small. Don’t try to build the most elaborate plans first. Resist the urge to get into Gantt charts if no one is used to them. Just get work written, add dates and assignees, and start getting used to it. If you did not use a work management tool before, you need to be gracious with yourself about the fact that you likely do not have the muscle memory for working this way yet. But you will get there.
And leverage people who know it if possible. Look for ClickUp experts and vendors. They can really supercharge your effectiveness at building the tool out and speed up the process.
Every other tool I have used has been for organizing tasks and work only. There were some of the other features, but none of them had the ability to do everything we need to manage a project from start to finish
One key difference between Hive and Spark is the way they process data. 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. In contrast, Spark is a real-time processing platform that is designed to handle streaming data and support interactive queries. Another difference is the way they execute queries. Hive uses a SQL-like query language called HiveQL, while Spark supports a wide range of languages and APIs, including SQL, Python, Scala, and R. But we chose Hive due to its simple queries on large datasets and for data warehousing tasks.
Scaling with ClickUp is superb. If you create a workflow best suited for your organization then it's all about creating new accounts and teaching the new employees the workflow you're using. It's that simple. There is no black magic when it comes to Clickup.
I've gotten to know my colleagues better, knowing their roles makes it faster to contact them to complete tasks and that speed makes us optimize and earn better results
The jobs speed made us focus on optimization and customization for the client, and that in a better treatment by the client and better revenue
We can understand which tasks takes more time and to stimate better what we can ask for
