Amazon MSK vs Dell Streaming Data Platform comparison

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Executive Summary

We performed a comparison between Amazon MSK and Dell Streaming Data Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Keorapetse Naane
Marc Gaethofs
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"MSK has a private network that's an out-of-box feature.""Amazon MSK has significantly improved our organization by building seamless integration between systems.""It offers good stability.""The most valuable feature of Amazon MSK is the integration.""Overall, it is very cost-effective based on the workflow.""It is a stable product."

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"The performance and price is good."

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Cons
"It does not autoscale. Because if you do keep it manually when you add a note to the cluster and then you register it, then it is scalable, but the fact that you have to go and do it, I think, makes it, again, a bit of some operational overhead when managing the cluster.""Amazon MSK could improve on the features they offer. They are still lagging behind Confluence.""It should be more flexible, integration-wise.""It would be really helpful if Amazon MSK could provide a single installation that covers all the servers.""The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET.""The configuration seems a little complex and the documentation on the product is not available."

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"Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes."

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Pricing and Cost Advice
  • "The price of Amazon MSK is less than some competitor solutions, such as Confluence."
  • "The platform has better pricing than one of its competitors."
  • More Amazon MSK Pricing and Cost Advice →

  • "The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte."
  • More Dell Streaming Data Platform Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon MSK has significantly improved our organization by building seamless integration between systems.
    Top Answer:The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET. They… more »
    Top Answer:We use the software to facilitate building integrations between systems.
    Top Answer:The performance and price is good.
    Top Answer:The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte. The solution's expansion is straightforward as you can easily upgrade your… more »
    Top Answer:Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes. An online calculator would be a helpful addition for this… more »
    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    8,163
    Comparisons
    6,453
    Reviews
    5
    Average Words per Review
    427
    Rating
    7.0
    17th
    out of 38 in Streaming Analytics
    Views
    252
    Comparisons
    188
    Reviews
    1
    Average Words per Review
    250
    Rating
    8.0
    Comparisons
    Also Known As
    Amazon Managed Streaming for Apache Kafka
    Learn More
    Overview

    Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.

    Dell EMC Streaming Data Platform, an innovative enterprise-grade software
    platform, empowers organizations by harnessing their real-time and historical
    data in a single, auto-scale infrastructure and programming model. Using the
    Streaming Data Platform, organizations can achieve improvement towards
    innovation throughout their entire ecosystem and harness the power of every
    piece of their massive data set.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company18%
    Manufacturing Company8%
    Retailer5%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    No Data Available
    Buyer's Guide
    Streaming Analytics
    March 2024
    Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Dell Streaming Data Platform is ranked 17th in Streaming Analytics with 1 review. Amazon MSK is rated 7.2, while Dell Streaming Data Platform is rated 8.0. The top reviewer of Amazon MSK writes "Efficient real-time transaction tracking but time-consuming installation". On the other hand, the top reviewer of Dell Streaming Data Platform writes "The solution’s clear-cut pricing makes scalability a cinch". Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Aiven for Apache Kafka, whereas Dell Streaming Data Platform is most compared with Confluent and Starburst Galaxy.

    See our list of best Streaming Analytics vendors.

    We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.