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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

    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
    IBM MQSAS Data Management
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM MQSAS Data Management
    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 MQSAS Data Management
    Considered Both Products
    IBM
    No answer on this topic
    SAS
    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
    80%
    Delivers good value for the price
    4 Answers
    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
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    39 Answers
    No answers on this topic
    Features
    IBM MQSAS Data Management
    Data Source Connection
    Comparison of Data Source Connection features of IBM MQ and SAS Data Management
    Feature
    IBM MQ
    -
    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 IBM MQ and SAS Data Management
    Feature
    IBM MQ
    -
    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 IBM MQ and SAS Data Management
    Feature
    IBM MQ
    -
    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 IBM MQ and SAS Data Management
    Feature
    IBM MQ
    -
    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
    IBM MQSAS Data Management
    Small Businesses
    No answers on this topic
    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
    IBM MQSAS Data Management
    Likelihood to Recommend
    10.0
    (48 ratings)
    7.6
    (11 ratings)
    Likelihood to Renew
    9.1
    (1 ratings)
    9.0
    (2 ratings)
    Usability
    9.1
    (7 ratings)
    6.0
    (2 ratings)
    Availability
    9.5
    (29 ratings)
    -
    (0 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    9.1
    (27 ratings)
    7.7
    (6 ratings)
    User Testimonials
    IBM MQSAS Data Management
    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
    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
    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
    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
    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
    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
    IBM
    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
    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
    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
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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
    Read full review
    SAS
    No answers on this topic
    Performance
    IBM
    No answers on this topic
    SAS
    It worked as expected.
    Incentivized
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    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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    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
    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
    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
    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
    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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