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HiveMQ

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69 reviews
  • 1 profiles
  • 3 categories
Average star rating
4.6
Serving customers since
2012

Profile Name

Star Rating

54
14
0
1
0

HiveMQ Reviews

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Profile Name
Star Rating
54
14
0
1
0
Spencer F.
SF
Spencer F.
Director of Software Engineering for Personal Health and Workforce Safety
03/12/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Exceptional Scalability and Robustness for IoT

I appreciate HiveMQ for its data replication through cluster management, which ensures that no messages are lost and everything is processed according to the quality of service set. It's built by extremely smart people who understand MQTT 3 and 5 features, making it extremely easy to implement and maintain. The system is robust and has a customer-first mindset, which is truly commendable. HiveMQ does an exceptional job at managing data for several hundred thousand actively connected devices.
Verified User in Oil & Energy
AO
Verified User in Oil & Energy
03/12/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Elegant, Highly Reliable Message Broker That Provides Predictable Reliability

It is an elegant solution to the business need of having a message broker technology. It facilitates our need to have 5 9's of uptime as well.
Verified User in Information Technology and Services
AI
Verified User in Information Technology and Services
03/12/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Bulletproof Performance with Excellent Account Management and Support

HiveMQ is a bulletproof product that has handled our product requirements without missing a beat. Even better - it's so easy to install and manage. It integrates beautifully with the rest of our stack Excellent account management and support.

About

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HQ Location:
Landshut, Bayern

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@HiveMQ

What is HiveMQ?

HiveMQ provides the most trusted IoT data streaming platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. It allows businesses to connect, stream, and govern their data in real-time across OT and IT systems for advanced analytics, predictive maintenance, and digital transformation.

Details

Year Founded
2012