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Teamwork vs Hive

A detailed comparison to help you choose the right tool for your needs.

Teamwork logo

Teamwork

Project Management

Try Teamwork
VS
Hive logo

Hive

Project Management

Try Hive

A
About Teamwork

Teamwork is a project management platform originally built with client-facing teams and agencies in mind, though it works well for teams of various types and sizes. It offers task management, time tracking, resource management, and project budgeting in a single platform, making it especially strong for teams that need to track billable hours and project profitability. Its interface balances depth of features with usability, providing multiple project views including list, board, Gantt, and table views. Teamwork also includes built-in chat, document collaboration, and a help desk product, positioning it as an all-in-one work management suite rather than just a task tracker.

B
About Hive

Hive is a project management and collaboration platform that combines task management, time tracking, and team communication in a single workspace. It offers multiple project views including Gantt charts, Kanban boards, calendars, and tables, letting teams choose the layout that works best for their workflow. Hive stands out with its native email integration, built-in automation, and an action-based architecture that keeps work organized across departments. It's used by teams ranging from small startups to large enterprises, including companies like Starbucks and Uber. The platform also features Hive AI tools to help with content creation and task summarization.

Pricing Comparison

Tool
Teamwork
Hive
Price
Free — From $10/user/mo
From $12/user/mo
Category
Project Management
Project Management
Rating
4.4 (36)
4.0 (15)
Free Plan
No
No
Integrations
8+ apps
8+ apps
Founded
2007
2015

Feature Comparison

Feature
Teamwork
Hive
Task assignment and prioritization
Time tracking and reporting
Customizable project templates
File sharing and document collaboration
Milestone tracking and management
Integrated messaging and comments
Real-time collaboration on tasks
Task dependencies and prioritization
Integrated chat and comments
Visual project timelines and Gantt charts

Choose Teamwork

Teamwork is a collaborative project management tool that helps teams plan, track, and deliver work efficiently.

Try Teamwork Free

Read full review

Choose Hive

Hive is a powerful project management tool that enhances team collaboration and productivity.

Try Hive Free

Read full review

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Score Comparison

Ease of Use
7.0
7.0
Features
8.0
8.0
Pricing
7.0
7.0
Support
8.0
6.0
Integrations
8.0
8.0
Overall
7.6
7.2
TeamworkHive

Our Verdict

TeamworkWinner

Your team is small and needs a straightforward tool for planning and tracking projects efficiently.

Better support
Hive

Your team is medium-sized and needs a robust tool to boost collaboration and productivity at $12/user/mo.

Teamwork vs Hive: The Bottom Line

Both Teamwork and Hive are strong project management tools, but they serve different needs. Teamwork has a higher user rating (4.4 vs 4.0). On pricing, Teamwork is more affordable starting at $5.99/mo.

Still unsure? Check the full reviews for Teamwork and Hive, explore Teamwork alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Teamwork or Hive better?

It depends on your needs. Teamwork (4.4★) is from $5.99/mo, while Hive (4.0★) is from $12/mo. Teamwork has a higher user rating.

Can I switch from Teamwork to Hive?

Yes. Most SaaS tools offer data export features. Check if Hive has a migration guide or import tool specifically for Teamwork users. Many offer onboarding assistance for switchers.

Which is cheaper, Teamwork or Hive?

Teamwork starts at $5.99/mo, which is cheaper than Hive at $12/mo.

What are the main differences between Teamwork and Hive?

Teamwork focuses on task assignment and prioritization and time tracking and reporting, while Hive emphasizes real-time collaboration on tasks and customizable project templates. Both are in the Project Management category but serve slightly different use cases.