Amazon MSK vs WSO2 Stream Processor comparison

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8,163 views|6,453 comparisons
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170 views|151 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon MSK and WSO2 Stream Processor 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).
765,386 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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 →

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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.
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    Earn 20 points

    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    8,163
    Comparisons
    6,453
    Reviews
    5
    Average Words per Review
    427
    Rating
    7.0
    28th
    out of 38 in Streaming Analytics
    Views
    170
    Comparisons
    151
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Amazon Managed Streaming for Apache Kafka
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    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.

    WSO2 Stream Processor is an open source, cloud native and lightweight stream processing platform that understands streaming SQL queries in order to capture, analyze, process and act on events in real time. This facilitates real-time streaming analytics and streaming data integration. With the product’s powerful streaming SQL, simple deployment, and ability to adapt to changes rapidly, enterprises can go to market faster and achieve greater ROI. Unlike other offerings, it provides a simple two-node deployment for high availability and scales beyond with its distributed deployment to cater to extremely high workloads.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Transport for London
    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.
    765,386 professionals have used our research since 2012.

    Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while WSO2 Stream Processor is ranked 28th in Streaming Analytics. Amazon MSK is rated 7.2, while WSO2 Stream Processor is rated 0.0. The top reviewer of Amazon MSK writes "Efficient real-time transaction tracking but time-consuming installation". On the other hand, Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Aiven for Apache Kafka, whereas WSO2 Stream Processor is most compared with Apache Flink.

    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.