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Google Cloud Pub/Sub vs. IBM Decision Manager Open Edition

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Pub/Sub

    Score8.8 out of 10
    N/AGoogle offers Cloud Pub/Sub, a managed message oriented middleware supporting many-to-many asynchronous messaging between applications.N/A

    IBM Decision Manager Open Edition

    Score8.6 out of 10
    N/AIBM Decision Manager Open Edition (formerly Red Hat Decision Manager) is a business rules management and CEP option. Announced in 2022, the product is transitioning to IBM.N/A
    Pricing
    Google Cloud Pub/SubIBM Decision Manager Open Edition
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud Pub/SubIBM Decision Manager Open Edition
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional Details——
    More Pricing Information
    Community Pulse
    Google Cloud Pub/SubIBM Decision Manager Open Edition
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    8 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    8 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    8 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    8 Answers
    No answers on this topic
    Best Alternatives
    Google Cloud Pub/SubIBM Decision Manager Open Edition
    Small Businesses
    Amazon SNS
    Score8.7 out of 10
    No answers on this topic
    Medium-sized Companies
    Amazon SNS
    Score8.7 out of 10
    No answers on this topic
    Enterprises
    TIBCO Rendezvous
    Score6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud Pub/SubIBM Decision Manager Open Edition
    Likelihood to Recommend
    9.0
    (8 ratings)
    9.3
    (5 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    8.0
    (2 ratings)
    Usability
    10.0
    (3 ratings)
    8.9
    (2 ratings)
    Availability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.8
    (3 ratings)
    5.2
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (1 ratings)
    Configurability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud Pub/SubIBM Decision Manager Open Edition
    Likelihood to Recommend
    Google
    If you want to stream high volumes of data, be it for ETL streaming or event sourcing, Google Cloud Pub/Sub is your go-to tool. It's easy to learn, easy to observe its metrics and scales with ease without additional configuration so if you have more producers of consumers, all you need to do is to deploy on k8s your solutions so that you can perform autoscaling on your pods to adjust to the data volume. The DLQ is also very transparent and easy to configure. Your code will have no logic whatsoever regarding orchestrating pubsub, you just plug and play. However, if you are not in the Google Cloud Pub/Sub environment, you might have trouble or be most likely unable to use it since I think it's a product of Google Cloud.
    Read full review
    IBM
    Red Hat Decision Manager is well suited for developing a microservices-based application architecture where reusable components / APIs can be used across different end-user applications. It however may not be well suited for use cases where business users need low code / no-code environment to maintain business rules themselves without any developer / IT team support
    Incentivized
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    Pros
    Google
    • With a pub/sub architecture the consumer is decoupled in time from the publisher i.e. if the consumer goes down, it can replay any events that occurred during its downtime.
    • It also allows consumer to throttle and batch incoming data providing much needed flexibility while working with multiple types of data sources
    • A simple and easy to use UI on cloud console for setup and debugging
    • It enables event-driven architectures and asynchronous parallel processing, while improving performance, reliability and scalability
    Incentivized
    Read full review
    IBM
    • Business rule management for filtering the candidate
    • Automate the possible decision making which reduces the time and increase the productivity
    • Whenever business rule changes based on the client requirement.
    Incentivized
    Read full review
    Cons
    Google
    • Would be nice if the queue could be extended beyond 7 days.
    • We found it a bit tricky replay unacknowledged messages when needed.
    Incentivized
    Read full review
    IBM
    • It should be easy to use because it needs more knowledge
    • You should be trained to your partner well
    • Well Documentations are needed
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    It serves all of our purposes in the most transparent way I can imagine, after seeing other message queueing providers, I can only attest to its quality.
    Read full review
    IBM
    Red Hat Decision Manager can be scaled and adapted to meet the automation needs of the organization as it grows by reusing the components and business rules data which provides a high ROI on the renewal costs.
    Incentivized
    Read full review
    Usability
    Google
    It is easy to create Google Cloud Pub/Sub topics from both Web Console and CLI commands.
    Google Cloud Pub/Sub supports creation of one or more subscriptions.
    By supporting a BigQuery Pub/Sub subscription to automatically write to a BigQuery table it simplifies development by avoiding implementation of a custom micro service for writes to BigQuery.
    Incentivized
    Read full review
    IBM
    Implementation phase is very difficult .Of course ,you need to know bunch of things about cloud,container,automatization
    Incentivized
    Read full review
    Reliability and Availability
    Google
    I have never faced a single problem in 4 years.
    Read full review
    IBM
    No answers on this topic
    Performance
    Google
    It's very fast, can be even better if you use protobuf.
    Read full review
    IBM
    No answers on this topic
    Support Rating
    Google
    They have decent documentation, but you need to pay for support. We weren't able to answer all our questions with the documentation and didn't have time to setup support before we needed it so I can't give it a higher rating but I think it tends to be a bit slow unless you're a GCP enterprise support customer.
    Incentivized
    Read full review
    IBM
    The support for Red Hat decision Manager can be improved to be more omnichannel with better response times for the customers.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    IBM
    For high volume and / or complex set of legacy business rules, plan for adequate time for data migration activities.
    Incentivized
    Read full review
    Alternatives Considered
    Google
    Having used Amazon Web Services SNS & SQS I can say that even if the latter may offer more features, Google Cloud Pub/Sub is easier to use. On the other hand, usage of SNS & SQS as well as documentation and troubleshooting is easier with the AWS solution. Since we are not using GCP only for Pub/Sub the choice depends on other variables.
    Incentivized
    Read full review
    IBM
    If you have a low budget to invest probably JBoss BRMS is the option for you, if your budget is not restricted you'll probably like to consider Bizagi
    Read full review
    Scalability
    Google
    You can just plug in consumers at will and it will respond, there's no need for further configuration or introducing new concepts. You have a queue, if it's slow, you plug in more consumers to process more messages: simple as that.
    Read full review
    IBM
    No answers on this topic
    Return on Investment
    Google
    • Increased Efficiency with reliable and Google managed services up all the time wit Disaster Recovery in place as well
    • Definitely Lower costs being a cloud based solution and easier to setup
    • Faster Project delivery and go to market plan for the business use cases basis this technology at the back end
    Incentivized
    Read full review
    IBM
    • Quickly write business rules
    • Computers can take decision
    • Complex event processing
    Incentivized
    Read full review
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