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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM MQ

    Score9 out of 10
    N/AIBM MQ (formerly WebSphere MQ and MQSeries) is messaging middleware.N/A

    Kibana

    Score8.4 out of 10
    N/AKibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.N/A
    Pricing
    IBM MQKibana
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM MQKibana
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM MQKibana
    Considered Both Products
    IBM
    No answer on this topic
    Elastic
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    42 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    98%
    Delivers good value for the price
    40 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    42 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    32 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    39 Answers
    80%
    Implementation went as expected
    4 Answers
    Features
    IBM MQKibana
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM MQ and Kibana
    Feature
    IBM MQ
    -
    Ratings
    Kibana
    7.0
    5 Ratings
    14% below category average
    Pixel Perfect reports00 Ratings6.02 Ratings
    Customizable dashboards00 Ratings8.05 Ratings
    Report Formatting Templates00 Ratings7.03 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM MQ and Kibana
    Feature
    IBM MQ
    -
    Ratings
    Kibana
    6.7
    5 Ratings
    16% below category average
    Drill-down analysis00 Ratings8.05 Ratings
    Formatting capabilities00 Ratings7.04 Ratings
    Integration with R or other statistical packages00 Ratings5.01 Ratings
    Report sharing and collaboration00 Ratings6.94 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM MQ and Kibana
    Feature
    IBM MQ
    -
    Ratings
    Kibana
    6.8
    2 Ratings
    18% below category average
    Publish to Web00 Ratings8.02 Ratings
    Publish to PDF00 Ratings8.02 Ratings
    Report Versioning00 Ratings6.02 Ratings
    Report Delivery Scheduling00 Ratings6.02 Ratings
    Delivery to Remote Servers00 Ratings6.02 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM MQ and Kibana
    Feature
    IBM MQ
    -
    Ratings
    Kibana
    6.7
    4 Ratings
    14% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.04 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.02 Ratings
    Predictive Analytics00 Ratings6.02 Ratings
    Pattern Recognition and Data Mining00 Ratings6.01 Ratings
    Best Alternatives
    IBM MQKibana
    Small Businesses
    No answers on this topic
    Chartio (discontinued)
    Score7.5 out of 10
    Medium-sized Companies
    Apache Kafka
    Score8.9 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    Apache Kafka
    Score8.9 out of 10
    Looker Studio
    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM MQKibana
    Likelihood to Recommend
    10.0
    (48 ratings)
    8.0
    (5 ratings)
    Likelihood to Renew
    9.1
    (1 ratings)
    -
    (0 ratings)
    Usability
    9.1
    (7 ratings)
    8.0
    (1 ratings)
    Availability
    9.5
    (29 ratings)
    -
    (0 ratings)
    Support Rating
    9.1
    (27 ratings)
    7.7
    (2 ratings)
    User Testimonials
    IBM MQKibana
    Likelihood to Recommend
    IBM
    In the context of Internet of Things (IoT) applications, IBM MQ plays a pivotal role in managing the substantial data streams emanating from interconnected devices. Its primary function is to guarantee the dependable transmission and processing of data, catering to a diverse range of IoT use cases, including but not limited to smart city initiatives, healthcare monitoring systems, and industrial automation solutions. In the telecommunications sector, IBM MQ is employed for message routing, call detail record (CDR) processing, and network management to ensure real-time data exchange and fault tolerance. When managing the supply chain and logistics, IBM MQ is used to ensure timely and accurate communication between different entities, including suppliers, warehouses, and transportation providers. IBM MQ can be cost-prohibitive for smaller organizations due to licensing and maintenance costs. In such cases, open-source or lightweight messaging solutions may be more appropriate. For scenarios requiring extremely low-latency, real-time data exchange, and high throughput, other messaging technologies, like Apache Kafka, may be more suitable due to their specialized design for such use cases.
    Incentivized
    Read full review
    Elastic
    Kibana is indeed a powerful tool and has many use cases especially in environments that rely heavily on real-time log analysis and visualisation. Kibana’s ability to handle large volumes of log data and present it in an accessible, searchable format is invaluable. We use Kibana to monitor security related issues and it proactively alerts our Slack channels about any anomality or issues.
    Incentivized
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    Pros
    IBM
    • The documentation is very clear,It is understandable and the support helps to configure it in the best way.
    • Server guidelines make it possible to get the most out of work management. It's broad, we can work with different operating systems, I really recommend using linux.
    • It is highly compatible with systems, brockers, applications, and data accumulation programs, it is possible to configure everything so that after the installation of programs, they can communicate with each other and then throw data to an external program that accumulates it and represents in clear details of steps to follow and make business decisions.
    Incentivized
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    Elastic
    • Fast searches with powerful index.
    • Beautiful data visualizations.
    • Real-time observability.
    Incentivized
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    Cons
    IBM
    • There is limitation on number of svrconn connections you can have to MQ on the mainframe which has been an major issue for us. This has been an issue for us for over 4 years and still no fix although I am aware IBM have been working on a solution over the last year.
    • When upgrading to MQ V9.3 on our MQ appliances there is no fall-back option. This was the same for MQ V9.2 upgrade from MQ V9.0. For production upgrades this I believe is not acceptable.
    • AMS is not supplied as part of the standard mainframe MQ licence. You need an extra licence. IBM tell customers how important security and protecting data is yet they still want to charge for this software. The cost of MQ on the mainframe is not cheap so I would expect AMS to be part of the base product.
    Incentivized
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    Elastic
    • Some performance issues with large datasets.
    • Linking to dashboards makes extremely long urls.
    • Lack of reports.
    Incentivized
    Read full review
    Usability
    IBM
    I give it a nine because it has significantly improved my team's data reliability and operational efficiency. Its great security features give us peace of mind, knowing our sensitive data is well protected. While the setup might initially be complex, I believe the long-term benefits far outweigh this hurdle.
    Incentivized
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    Elastic
    Its usability is generally good and it provides teams with a basic to intermediate understanding about data visualization. It is very user-friendly when it comes to creating dashboards. The UI is very good and simple. Its integration with other tools for alerting and reporting is amazing. But its advance features have a learning curve and a first timer needs some time to use the advance features.
    Incentivized
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    Reliability and Availability
    IBM
    The messages are delivered instantly with this software and it integrates with our technology stack, in terms of availability we only had one failure when we were doing some testing and integration with third parties, the features of this software make it always available and its deployment is easy for the company, it does not generate expenses due to failures
    Incentivized
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    Elastic
    No answers on this topic
    Support Rating
    IBM
    There are very specific things that must be elevated to more specialized areas of support, but the common support is very agile when receiving questions or when we leave concerns in real time. I recommend the support of the program in this regard.
    Incentivized
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    Elastic
    We did not use the official Kibana support. Documentation was easy enough to follow.
    Incentivized
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    Alternatives Considered
    IBM
    We found IBM MQ very easy to get started and quick to learn by the new users with a short learning curve and seamlessly integrates with IBM products, and quick to perform self-service analytics and make informed business decisions. IBM MQ is also very straightforward in creating simple and best reports, which are very profitable and productive.
    Incentivized
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    Elastic
    Kibana is free; it was the first and only thing we've tried in this area.
    Incentivized
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    Return on Investment
    IBM
    • Positive- Message Reliability and Reduced downtime, increases the ROI many times.
    • Positive- Increased stability and enhanced customer experience
    • Negative- cost is very high - Both licensing and integration cost
    • Negative- Learning and training cost of IBM MQ is high as its complex to use and integrate
    Incentivized
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    Elastic
    • Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
    • We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
    • Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.
    Incentivized
    Read full review
    ScreenShots