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IBM MQ Pricing Overview

Pricing Insights

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

20 months

Average Discount

17%

Perceived Cost

$$$$$

IBM MQ Alternatives Pricing

The following is a quick overview of editions offered by other Message Queue (MQ) Software

Free Trial
For teams wanting to align strategic initiatives and goals, track progress, and drive focus.
  • AI-guided decisions
  • Strategic action plans
  • Executive summaries
  • AI-powered whiteboards planning
  • Goal-setting with OKRs
HiveMQ
HiveMQ Self-Managed Editions
Free Trial
MQTT messaging solution that runs anywhere Choose from: -Community Edition -Starter Edition -Professional Edition -Enterprise Edition
  • 24/7 Support available
  • Clustering for high availability and scalability
  • Essential security features
  • Enterprise Extensions and SDK
Germain UX
Starter
Free Trial100 Users Per Month
  • All Features
  • 1h basic support/day
  • 1h advanced support/day

Various alternatives pricing & plans

Pricing information for the above various IBM MQ alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

IBM MQ Pricing Reviews

(1)
Verified User in Banking
CB
Mid-Market (51-1000 emp.)
"IBM MQ - Business Guaranteed Delivery"
What do you like best about IBM MQ?

IBM MQ has provided our business with a stable and resilient integration backbone, ensuring that transactions are never lost. It has played a key role in safely modernizing our legacy systems while maintaining compliance in regulated environments. As a result, we have seen a reduction in risk and an increase in customer confidence, especially within our payment and core banking processes.IBM MQ combines enterprise-grade reliability with surprising ease of use once deployed. Review collected by and hosted on G2.com.

What do you dislike about IBM MQ?

Setting up and managing queue managers, as well as configuring high availability, disaster recovery, and clustering, can be quite complex and demands specialized expertise, which increases operational overhead. Additionally, while native observability features are robust at the infrastructure level, they are less effective for end-to-end business transaction tracing, often necessitating additional tools to achieve comprehensive visibility. Review collected by and hosted on G2.com.

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