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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    SAS Data Management

    Score8 out of 10
    N/AA suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
    Pricing
    RabbitMQSAS Data Management
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    RabbitMQSAS Data Management
    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
    RabbitMQSAS Data Management
    Considered Both Products
    Open Source
    No answer on this topic
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    91%
    Would buy again
    10 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    11 Answers
    80%
    Delivers good value for the price
    4 Answers
    Happy with the feature set
    91%
    Happy with the feature set
    10 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    No answers on this topic
    Features
    RabbitMQSAS Data Management
    Data Source Connection
    Comparison of Data Source Connection features of RabbitMQ and SAS Data Management
    Feature
    RabbitMQ
    -
    Ratings
    SAS Data Management
    8.3
    10 Ratings
    1% below category average
    Connect to traditional data sources00 Ratings8.610 Ratings
    Connecto to Big Data and NoSQL00 Ratings8.19 Ratings
    Data Transformations
    Comparison of Data Transformations features of RabbitMQ and SAS Data Management
    Feature
    RabbitMQ
    -
    Ratings
    SAS Data Management
    6.7
    8 Ratings
    19% below category average
    Simple transformations00 Ratings6.18 Ratings
    Complex transformations00 Ratings7.48 Ratings
    Data Modeling
    Comparison of Data Modeling features of RabbitMQ and SAS Data Management
    Feature
    RabbitMQ
    -
    Ratings
    SAS Data Management
    6.7
    8 Ratings
    17% below category average
    Data model creation00 Ratings5.56 Ratings
    Metadata management00 Ratings7.47 Ratings
    Business rules and workflow00 Ratings6.67 Ratings
    Collaboration00 Ratings7.07 Ratings
    Testing and debugging00 Ratings6.17 Ratings
    Data Governance
    Comparison of Data Governance features of RabbitMQ and SAS Data Management
    Feature
    RabbitMQ
    -
    Ratings
    SAS Data Management
    7.9
    9 Ratings
    2% below category average
    Integration with data quality tools00 Ratings7.69 Ratings
    Integration with MDM tools00 Ratings8.27 Ratings
    Best Alternatives
    RabbitMQSAS Data Management
    Small Businesses
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    Skyvia
    Score10 out of 10
    Medium-sized Companies
    Apache Kafka
    Score8.9 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    Apache Kafka
    Score8.9 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    RabbitMQSAS Data Management
    Likelihood to Recommend
    9.9
    (11 ratings)
    7.6
    (11 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (2 ratings)
    Usability
    8.0
    (1 ratings)
    6.0
    (2 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    6.5
    (4 ratings)
    7.7
    (6 ratings)
    User Testimonials
    RabbitMQSAS Data Management
    Likelihood to Recommend
    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
    Read full review
    SAS
    When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
    Incentivized
    Read full review
    Pros
    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
    Read full review
    SAS
    • SAS/Access is great for manipulating large and complex databases.
    • SAS/Access makes it easy to format reports and graphics from your data.
    • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
    Incentivized
    Read full review
    Cons
    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
    Read full review
    SAS
    • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
    • Debugging errors from the logs is a complicated process.
    • E-mail alert system is very primitive and needs customization to make it more modern,
    • Cannot send SMS alerts for jobs.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    SAS
    We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
    Read full review
    Usability
    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
    Read full review
    SAS
    The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
    Incentivized
    Read full review
    Performance
    Open Source
    No answers on this topic
    SAS
    It worked as expected.
    Incentivized
    Read full review
    Support Rating
    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
    Read full review
    SAS
    With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
    Incentivized
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    Alternatives Considered
    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
    Read full review
    SAS
    Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
    Incentivized
    Read full review
    Return on Investment
    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
    Read full review
    SAS
    • We have more users who can connect to the many different data sources.
    • Our users do have existing SAS programming knowledge and that can carry over.
    • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
    Incentivized
    Read full review
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