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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM StreamSets

    Score7.9 out of 10
    N/AIBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.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
    IBM StreamSetsRabbitMQ
    Editions & Modules
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    Pricing Offerings
    IBM StreamSetsRabbitMQ
    Free Trial
    NoNo
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    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
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    Community Pulse
    IBM StreamSetsRabbitMQ
    Considered Both Products
    IBM
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    Open Source
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    Key User Insights
    Would buy again
    100%
    Would buy again
    9 Answers
    91%
    Would buy again
    10 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    100%
    Delivers good value for the price
    11 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    9 Answers
    91%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    8 Answers
    100%
    Implementation went as expected
    11 Answers
    Best Alternatives
    IBM StreamSetsRabbitMQ
    Small Businesses
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    Medium-sized Companies
    Apache Spark
    Score8.8 out of 10
    Apache Kafka
    Score8.9 out of 10
    Enterprises
    Apache Spark
    Score8.8 out of 10
    Apache Kafka
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM StreamSetsRabbitMQ
    Likelihood to Recommend
    7.3
    (9 ratings)
    9.9
    (11 ratings)
    Usability
    7.7
    (8 ratings)
    8.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    6.5
    (4 ratings)
    User Testimonials
    IBM StreamSetsRabbitMQ
    Likelihood to Recommend
    IBM
    IBM StreamSets excels in real-time logistics data ingestion and transformation across hybrid systems. It’s less ideal for lightweight ETL tasks or static datasets where simpler tools can achieve similar results with less overhead and complexity.
    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.
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    Pros
    IBM
    • It helps streaming huge data that we have in our Teradata database to various reporting applications that runs on cloud seamlessly.
    • We also use IBM StreamSets to power few BI dashboards that our product managers use on regular basis to showcase various data with clients.
    • I think the data quality is way better compared to Informatica tool.
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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.
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    Cons
    IBM
    • The error messages I feel aren t always very descriptive so troubleshooting can take longer
    • Maybe more customisation options for scheduling can be done, rest it works pretty well.
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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.
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    Usability
    IBM
    The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
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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.
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    Support Rating
    IBM
    No answers on this topic
    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.
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    Alternatives Considered
    IBM
    First advantage is that this software is particularly new and it keeps updating according to the needs of the user. Other advantage is the it organises and produces conclusions on the basis of data without leaving any relevant information. Other softwares lack in data summarising and readability of the charts and sheets they produce.
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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
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    Return on Investment
    IBM
    • time saving for automatic collection and integration of data
    • time saving thanks to live monitoring and reaction
    • time saving for standardization of data
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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.
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