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Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs. IBM watsonx.data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon MSK

    Score10 out of 10
    N/AAmazon MSK is a managed service enabling users to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications.N/A

    IBM watsonx.data

    Score8.5 out of 10
    N/AWatsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data.N/A
    Pricing
    Amazon MSKIBM watsonx.data
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Amazon MSKIBM watsonx.data
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Amazon MSKIBM watsonx.data
    Considered Both Products
    Amazon AWS
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    96%
    Would buy again
    45 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    39 Answers
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    46 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    33 Answers
    Best Alternatives
    Amazon MSKIBM watsonx.data
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    SAP Business Data Cloud
    Score8.6 out of 10
    Enterprises
    No answers on this topic
    SAP Business Data Cloud
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon MSKIBM watsonx.data
    Likelihood to Recommend
    -
    (0 ratings)
    8.2
    (44 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.3
    (5 ratings)
    Usability
    -
    (0 ratings)
    8.5
    (11 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (5 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    Configurability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    8.3
    (2 ratings)
    Product Scalability
    -
    (0 ratings)
    8.3
    (2 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    Amazon MSKIBM watsonx.data
    Likelihood to Recommend
    Amazon AWS
    No answers on this topic
    IBM
    Real-time transaction processing (both reads and writes) is where DataStax Enterprise shines. It's very fast with linear scalability should more resources be needed. Additional nodes are added very easily. DataStax Enterprise on its own (without Solr or Spark enabled) isn't well suited for long complicated reports. The data model doesn't support joining multiple tables together which is common in BI reporting.
    Read full review
    Pros
    Amazon AWS
    No answers on this topic
    IBM
    • Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why.
    • Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day.
    • Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful.
    • Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    No answers on this topic
    IBM
    • I seen the connectivity of s3 buckets on aws it is only user based authentication if it can used as role based it would be help as part of security constraint
    • Mrap connections are more flexible, But using the presto and it helps a lot
    • If the customization can be happened on the IBM watsonx.data side like connectivity and other things
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    IBM
    As an open source technology Cassandra can be readily used with or without any commercial support. DataStax provides value-added services and features, and in the end it is up to individual situations to strike a balance between the desirability of such support/service versus the associated cost.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    No answers on this topic
    IBM
    DataStax has a good community built around it and has amazing scalability options. Though the initial setup is a bit costly, in the long run, it makes up for it. It also has powerful monitoring tools and a clean UI.
    Incentivized
    Read full review
    Reliability and Availability
    Amazon AWS
    No answers on this topic
    IBM
    good recovery features
    Incentivized
    Read full review
    Performance
    Amazon AWS
    No answers on this topic
    IBM
    scalable product
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    No answers on this topic
    IBM
    We have had a few situations where we caused an outage or something has gone wrong and we are able to get a support person to offer live help within minutes. The escalation process is excellent - the best I've seen - and the support team is incredibly strong. Outside of emergencies, the team is very helpful with general questions and working through data model exercises and the subscription I believe still comes with some hours to help get the data model reviewed.
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    Online Training
    Amazon AWS
    No answers on this topic
    IBM
    easy to follow documentation, support is there when needed
    Incentivized
    Read full review
    Implementation Rating
    Amazon AWS
    No answers on this topic
    IBM
    use saas service
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    No answers on this topic
    IBM
    Cognos Analytics wont be able to have any assets without the connectivity to IBM watsonx.data lakehouse. In our environment, IBM watsonx.data serves as the primary data source for all of our assets within our Cognos Analytics environment. IBM watsonx.data also incorporates the ability to run and verify SQL schema right within the management console.
    Incentivized
    Read full review
    Scalability
    Amazon AWS
    No answers on this topic
    IBM
    IBM Cognos offers exceptional scalability, making it a strong solution for organizations with growing business intelligence and reporting needs. Numerous Fortune 500 companies rely on IBM Cognos to manage complex reporting environments, support large user populations, and scale their analytics capabilities as their businesses grow.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    No answers on this topic
    IBM
    • It has saved us a huge cost by offloading data-warehouse which are comparatively expensive.
    • Provides a single source of data to train AI models so we don't need to rely on multiple sources, saving infra/license costs.
    • Prevents data duplication as multiple engines can use the same data bucket for the search.
    Incentivized
    Read full review
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