Asana is a web and mobile project management app. With tasks, projects, conversations, and dashboards, Asana lets an entire team know who's doing what by when, enabling workload balancing. Users can also add integrations for GANTT charts, time tracking and more.
$50
per month
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.
I would say that in comparison to Asana, Hive is a better interface an UI. I think Asana is more robust in terms of what it can do in conjunction with Confluence but I think Hive is a better entry-level model for new employees. Hive is much simpler and more straight forward and …
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 …
So far Hive is the total package for our needs. Offering request forms and proofing/approval out of the box without third party integrations has been a huge upgrade for us along with incredibly reasonable pricing. The support for onboarding has been fantastic and we haven't …
Asana fixed team issues like project transparency and communication, improved team performance, and enhanced office and mobile productivity. Upper management can solve project management issues quickly, and new hires can use the tool immediately. Asana's surveys simplify research and data collection. Its free trial, free plan, or paid SaaS subscription gives small and large teams the tools and centralized console to work through project tasks efficiently. Due to its complexity, Asana can be overwhelming at first.
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.
Through it, we were able to communicate and cooperate with the rest of the team to complete the work in the required manner and at the appropriate time.
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
It is very user-friendly. Takes a new employee an hour to start figuring out how the system works. That's an important factor. You don't want to encounter the issue where employees need a week to understand how the system works. For example, JIRA, I tried using it for a week and I still don't understand the complicated layout. Asana has a simple interface. Once you see it, you get it type of program.
I haven't had to use their support so I can't rate it. The fact that I haven't needed them reflects the ease of use of the product. I would recommend that any new users schedule a complete demo of the product to ensure that they are using it to it's fullest (there's a lot of useful features).
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.
I like how extensive the capabilities are for Asana. With other softwares it seems there are many things lacking. I feel like Asana is also a very user friendly platform and aesthetically pleasing which is important in a modern office. We have many young people entering our workspace and it is important to have software that is ahead of the times in functionality and efficiency.
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.
