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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    RabbitMQ

    Score9.5 out of 10
    N/ARabbitMQ, an open source message broker, is part of Pivotal Software, a VMware company acquired in 2019, and supports message queue, multiple messaging protocols, and more. RabbitMQ is available open source, however VMware also offers a range of commercial services for RabbitMQ; these are available as part of the Pivotal App Suite.N/A
    Pricing
    KibanaRabbitMQ
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    KibanaRabbitMQ
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    KibanaRabbitMQ
    Considered Both Products
    Elastic
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    91%
    Would buy again
    10 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    11 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    91%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    80%
    Implementation went as expected
    4 Answers
    100%
    Implementation went as expected
    11 Answers
    Features
    KibanaRabbitMQ
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Kibana and RabbitMQ
    Feature
    Kibana
    7.0
    5 Ratings
    14% below category average
    RabbitMQ
    -
    Ratings
    Pixel Perfect reports6.02 Ratings00 Ratings
    Customizable dashboards8.05 Ratings00 Ratings
    Report Formatting Templates7.03 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Kibana and RabbitMQ
    Feature
    Kibana
    6.7
    5 Ratings
    16% below category average
    RabbitMQ
    -
    Ratings
    Drill-down analysis8.05 Ratings00 Ratings
    Formatting capabilities7.04 Ratings00 Ratings
    Integration with R or other statistical packages5.01 Ratings00 Ratings
    Report sharing and collaboration6.94 Ratings00 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Kibana and RabbitMQ
    Feature
    Kibana
    6.8
    2 Ratings
    18% below category average
    RabbitMQ
    -
    Ratings
    Publish to Web8.02 Ratings00 Ratings
    Publish to PDF8.02 Ratings00 Ratings
    Report Versioning6.02 Ratings00 Ratings
    Report Delivery Scheduling6.02 Ratings00 Ratings
    Delivery to Remote Servers6.02 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Kibana and RabbitMQ
    Feature
    Kibana
    6.7
    4 Ratings
    14% below category average
    RabbitMQ
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)8.04 Ratings00 Ratings
    Location Analytics / Geographic Visualization7.02 Ratings00 Ratings
    Predictive Analytics6.02 Ratings00 Ratings
    Pattern Recognition and Data Mining6.01 Ratings00 Ratings
    Best Alternatives
    KibanaRabbitMQ
    Small Businesses
    Chartio (discontinued)
    Score7.5 out of 10
    No answers on this topic
    Medium-sized Companies
    Jet Reports
    Score9.5 out of 10
    Apache Kafka
    Score8.9 out of 10
    Enterprises
    Looker Studio
    Score8.2 out of 10
    Apache Kafka
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    KibanaRabbitMQ
    Likelihood to Recommend
    8.0
    (5 ratings)
    9.9
    (11 ratings)
    Usability
    8.0
    (1 ratings)
    8.0
    (1 ratings)
    Support Rating
    7.7
    (2 ratings)
    6.5
    (4 ratings)
    User Testimonials
    KibanaRabbitMQ
    Likelihood to Recommend
    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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    Open Source
    It is highly recommended that if you have microservices architecture and if you want to solve 2 phase commit issue, you should use RabbitMQ for communication between microservices. It is a quick and reliable mode of communication between microservices. It is also helpful if you want to implement a job and worker mechanism. You can push the jobs into RabbitMQ and that will be sent to the consumer. It is highly reliable so you won't miss any jobs and you can also implement a retry of jobs with the dead letter queue feature. It will be also helpful in time-consuming API. You can put time-consuming items into a queue so they will be processed later and your API will be quick.
    Incentivized
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    Pros
    Elastic
    • Fast searches with powerful index.
    • Beautiful data visualizations.
    • Real-time observability.
    Incentivized
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    Open Source
    • What RabbitMQ does well is what it's advertised to do. It is good at providing lots of high volume, high availability queue. We've seen it handle upwards of 10 million messages in its queues, spread out over 200 queues before its publish/consume rates dipped. So yeah, it can definitely handle a lot of messages and a lot of queues. Depending on the size of the machine RabbitMQ is running on, I'm sure it can handle more.
    • Decent number of plugins! Want a plugin that gives you an interface to view all the queues and see their publish/consume rates? Yes, there's one for that. Want a plugin to "shovel" messages from one queue to another in an emergency? Check. Want a plugin that does extra logging for all the messages received? Got you covered!
    • Lots of configuration possibilities. We've tuned over 100 settings over the past year to get the performance and reliability just right. This could be a downside though--it's pretty confusing and some settings were hard to understand.
    Incentivized
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    Cons
    Elastic
    • Some performance issues with large datasets.
    • Linking to dashboards makes extremely long urls.
    • Lack of reports.
    Incentivized
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    Open Source
    • It breaks communication if we don't acknowledge early. In some cases our work items are time consuming that will take a time and in that scenario we are getting errors that RabbitMQ broke the channel. It will be good if RabbitMQ provides two acknowledgements, one is for that it has been received at client side and second ack is client is completed the processing part.
    Incentivized
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    Usability
    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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    Open Source
    RabbitMQ is very easy to configure for all supported languages (Python, Java, etc.). I have personally used it on Raspberry Pi devices via a Flask Python API as well as in Java applications. I was able to learn it quickly and now have full mastery of it. I highly recommend it for any IoT project.
    Incentivized
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    Support Rating
    Elastic
    We did not use the official Kibana support. Documentation was easy enough to follow.
    Incentivized
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    Open Source
    I gave it a 10 but we do not have a support contract with any company for RabbitMQ so there is no official support in that regard. However, there is a community and questions asked on StackOverflow or any other major question and answer site will usually get a response.
    Incentivized
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    Alternatives Considered
    Elastic
    Kibana is free; it was the first and only thing we've tried in this area.
    Incentivized
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    Open Source
    RabbitMQ has a few advantages over Azure Service Bus 1) RMQ handles substantially larger files - ASB tops out at 100MB, we use RabbitMQfor files over 200MB 2) RabbitMQ can be easily setup on prem - Azure Service Bus is cloud only 3) RabbitMQ exchanges are easier to configure over ASB subscriptions ASB has a few advantages too 1) Cloud based - just a few mouse clicks and you're up and running
    Incentivized
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    Return on Investment
    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
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    Open Source
    • Positive: we don't need to keep way too many backend machines around to deal with bursts because RabbitMQ can absorb and buffer bursts long enough to let an understaffed set of backend services to catch up on processing. Hard to put a number to it but we probably save $5k a month having fewer machines around.
    • Negative: we've got many angry customers due to queues suddenly disappearing and dropping our messages when we try to publish to them afterward. Ideally, RabbitMQ should warn the user when queues expire due to inactivity but it doesn't, and due to our own bugs we've lost a lot of customer data as a result.
    • Positive: makes decoupling the web and API services from the deeper backend services easier by providing queues as an interface. This allowed us to split up our teams and have them develop independently of each other, speeding up software development.
    Incentivized
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    ScreenShots