Amazon MSK vs EVAM Event Stream Processing (ESP) Platform comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
7,940 views|6,237 comparisons
83% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon MSK and EVAM Event Stream Processing (ESP) Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
Keorapetse Naane
Use EVAM Event Stream Processing (ESP) Platform?
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 →

    Information Not Available
    report
    Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
    767,847 professionals have used our research since 2012.
    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.
    Ask a question

    Earn 20 points

    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    7,940
    Comparisons
    6,237
    Reviews
    5
    Average Words per Review
    427
    Rating
    7.0
    32nd
    out of 38 in Streaming Analytics
    Views
    100
    Comparisons
    73
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    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.

    EVAM is a real-time Event Stream Processing (ESP) Platform having real-time data integration and streaming advanced analytics with Machine Learning/AI and Microservice enabled capabilities.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    NA
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company17%
    Manufacturing Company9%
    Retailer5%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    No Data Available
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while EVAM Event Stream Processing (ESP) Platform is ranked 32nd in Streaming Analytics. Amazon MSK is rated 7.2, while EVAM Event Stream Processing (ESP) Platform 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 EVAM Event Stream Processing (ESP) Platform is most compared with .

    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.