Active Collab is a project management solution built around features such as task management, collaboration, time tracking, and invoicing.
$8
per member/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.
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 …
Scenarios where ActiveCollab works well 1) ActiveCollab works well for small teams specifically T&M teams.Its invoicing feature is unique & can make your life easy. 2) It is very easy to use & posses good range of filters like on the task list, we can drag/drop tasks, Filter by assignee's, tasks lists, due dates, or completed tasks. 3) It has some simple but awesome features like when you're in the middle of writing something i.e a comment on story and get interrupted, it retains what you wrote. 4) It allows you to tag team members in threads of comments to grab their attention, its really needed when teams are distributed. Thus helping team members to collaborate easily & stay on same page. 5) It integrates pretty well with other web apps like quickbooks , Slack, Trello, HubSpot, Zapier etc Scenarios where ActiveCollab did not work well 1) Tasks can not have multiple assignee's here so if two members are working on same task it did not allow you to reflect that. 2) Sorting capability is not their under invoicing 3) It did not work well for larger teams 4) Search option is not very detailed & you may end up wasting lot of time searching one particular bug or issue.
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
It isn't possible to set members of staff as part time, so if someone is unavailable on certain days you must manually enter them as OOO every single day that they are not in, that other teammates work. Hours also can't be edited individually - everyone is treated as working the same hours in a day, rendering capacity planner useless for flexi working teams
Subtasks cannot be assigned their own hours and deadlines, meaning the To Do list view can't be seen in actual date order and capacity planner does not reflect all time allocated to an individual's schedule unless every task is set up as a separate task rather than subtask
There is no way to see all tasks of a certain type across multiple campaigns (e.g all copywriting tasks vs all technical tasks) - support team suggested exporting data and making spreadsheets
Kanban view isn't available for people's own task lists ('board' view here shows a list)
Not possible to have one task be assigned to more than one person
Notifications are not sent when tasks are updated, so you have to leave comments and tag people each time
We have not required support for ActiveCollab as it works pretty seamlessly. We didn't have any issues with using the platform or with any billing issues. The self-service aspect of the platform is robust and easy to navigate so we have not encountered any errors that required assistance from the support team.
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.
ActiveCollab is easier to use and simpler in its setup. It has the right mix of features and simplicity. It's also project-oriented which is important for our workflow. Other tools are often too task-oriented, making it hard to track projects. Overall, ActiveCollab has a great mix of simplicity with good features.
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.
