Amazon MSK vs Striim comparison

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Amazon Web Services (AWS) Logo
8,163 views|6,453 comparisons
Striim Logo
346 views|282 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon MSK and Striim 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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    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    8,163
    Comparisons
    6,453
    Reviews
    5
    Average Words per Review
    427
    Rating
    7.0
    25th
    out of 38 in Streaming Analytics
    Views
    346
    Comparisons
    282
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Amazon Managed Streaming for Apache Kafka
    Striim Platform
    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.

    The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Sky, UPS, MACY'S, EMAAR, HSBC
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company18%
    Manufacturing Company8%
    Retailer5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company17%
    Retailer12%
    Comms Service Provider7%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise16%
    Large Enterprise72%
    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 Striim is ranked 25th in Streaming Analytics. Amazon MSK is rated 7.2, while Striim 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 Striim is most compared with Confluent and 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.