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HiveMQ

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93 reviews
  • 1 profiles
  • 3 categories
Average star rating
4.5
Serving customers since
2012

Profile Name

Star Rating

66
25
1
1
0

HiveMQ Reviews

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Profile Name
Star Rating
66
25
1
1
0
Nandan B.
NB
Nandan B.
03/24/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Reliable IoT Platform with Flexible Deployment

I use HiveMQ for high scalability, cloud, and on-premise support, which offers flexible deployment options. It helps me in large-scale, reliable, real-time IoT operations without worrying about connectivity, data loss, or downtime. I like the rich plugin SDK for custom features, which turns the broker from a message pipe into a smart processing engine tailored to my operations work. The initial setup was good, making it easier to integrate into my projects.
LF
Luciana F.
03/20/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

HiveMQ handled our device scale easily

The clustering capability is what sets HiveMQ apart from everything else we tested before committing. Scaling broker nodes horizontally without any message loss or connection disruption during peak device activity is something we genuinely took for granted until we tried replicating it on an alternative platform during an evaluation. The extension SDK has also given our team the ability to build custom authentication and data transformation logic directly into the broker layer without compromising the core stability we depend on.
Zackary W.
ZW
Zackary W.
03/17/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Helpful Team and Great Support

The team is helpful and always responsive whenever we have issues

About

Contact

HQ Location:
Landshut, Bayern

Social

@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
Website
www.hivemq.com