Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$0
Teamwork.com
Score 8.9 out of 10
N/A
Teamwork.com is a project management platform built specifically for client work. The platform helps users deliver work on time and on budget, eliminate client chaos, and understand profitability. Teamwork.com’s customers track and manage their projects with a suite of integrated solutions such as helpdesk, collaboration, knowledge sharing and customer relationship management add-ons, enabling Teamwork.com to be the ‘one-stop shop’ solution for business owners. Headquartered in Cork,…
$13.99
per month per user
Pricing
Hive
Teamwork.com
Editions & Modules
Free
$0
Lite
$24
per month per user
Growth
$34
per month per user
Pro
$59
per month per user
Elite
Contact Sales
Deliver
$13.99
per month per user
Grow
$25.99
per month per user
Free Forever
Free
Up to 5 users
Scale
Contact sales team
Offerings
Pricing Offerings
Hive
Teamwork.com
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
A discount is offered for annual pricing.
A discount is offered for annual billing.
More Pricing Information
Community Pulse
Hive
Teamwork.com
Features
Hive
Teamwork.com
Project Management
Comparison of Project Management features of Product A and Product B
Hive
7.5
Ratings
2% below category average
Teamwork.com
9.3
Ratings
19% above category average
Task Management
8.30 Ratings
10.00 Ratings
Resource Management
7.30 Ratings
10.00 Ratings
Gantt Charts
7.70 Ratings
9.00 Ratings
Scheduling
7.90 Ratings
10.00 Ratings
Workflow Automation
7.50 Ratings
9.00 Ratings
Team Collaboration
8.00 Ratings
10.00 Ratings
Support for Agile Methodology
8.30 Ratings
9.00 Ratings
Support for Waterfall Methodology
7.60 Ratings
9.00 Ratings
Document Management
7.10 Ratings
9.00 Ratings
Email integration
7.30 Ratings
9.00 Ratings
Mobile Access
7.00 Ratings
9.00 Ratings
Timesheet Tracking
7.30 Ratings
9.00 Ratings
Change request and Case Management
7.00 Ratings
9.00 Ratings
Budget and Expense Management
6.60 Ratings
9.00 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
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.
Teamwork is awesome for teams who need a flexible tool that supports all types of projects. Since it supports kanban it makes visualizing the work to be done and the work in progress very easy. The Gantt chart support is decent and helps to understand how a team is doing when it comes to getting work done in a given time frame. Teamwork isn't a great option for companies that have a bunch of projects going simultaneously due to the way Teamwork structures their billing based on a number of active 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.
Visualization needs to be improved, charts graphs are limited
Value stream mapping should be available to determine and prioritize the work.
Documentation should be available stepwise with export and printable facility.
It should be configurable like ERP with cross functionalities of different users, where users login, assign and approve the work, job or project details, where it should be collectively effected on a project.
Add many examples, little more AI, Machine learning required for suggestion and recommendation. It would be a plus point
We are already at an annual contract, and have been for the past 5 years; so far the system has delivered, and our personal is already trained in it. A major overhaul of our entire infrastructure (as in moving everything to a single, unified platform) might change the current continuity of Teamwork Projects on our organization, but that's not feasible in the near future.
The web based user interface is familiar, flexible (boards, task lists, and Gantts) and feature-rich. It is simple enough for the beginner to be effective and robust enough for experienced users to gain efficiencies with advanced techniques. Reporting is intuitive and can be customized for transfer via email or to paper. Great interoperability with other tools make teamwork dependable and a good partner for the overall technology stack.
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.
The support service provided by Teamwork is excellent, and one of the best I've experienced. This is for the following reasons: (1) The speed at which they respond to queries I raise (2) The depth of understanding they have of the product (3) The way in which they are able to understand my questions without needing me to re-explain (4) The quality of the documentation available online (5) The openness they express about current issues and downtime
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.
I spoke about this quite a bit before, but as far as usability goes, Microsoft Projects is totally useless for me, so I avoid it at all costs. Basecamp was just a task management app and had very small feature set beyond that. We had to rig it to do other things for us, but it failed at that. Asana was a very nice app to trial, but it lacked many of the features that we were looking for.
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
Overall, it keeps our team on track ensuring that all of our projects are on time and on budget, which definitely contributes to our retention rates.
It ensures that we're tracking time on billable tasks which contributes directly to our bottom line.
Teamwork Projects also helps us better forecast when a clients project can be completed (alongside the other work our team needs to accomplish) AND it helps us more accurately quote projects in the future because we have historical time tracking data saved.