Amazon MSK vs Apache Pulsar comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
7,763 views|6,108 comparisons
83% willing to recommend
Pulsar Logo
1,610 views|1,100 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon MSK and Apache Pulsar based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
771,157 professionals have used our research since 2012.
Featured Review
Keorapetse Naane
Christian Bonami
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.""Overall, it is very cost-effective based on the workflow.""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.""It is a stable product."

More Amazon MSK Pros →

"The solution operates as a classic message broker but also as a streaming platform."

More Apache Pulsar Pros →

Cons
"The configuration seems a little complex and the documentation on the product is not available.""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.""It should be more flexible, integration-wise.""Amazon MSK could improve on the features they offer. They are still lagging behind Confluence.""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."

More Amazon MSK Cons →

"Documentation is poor because much of it is in Chinese with no English translation."

More Apache Pulsar Cons →

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.
    771,157 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.
    Top Answer:The solution operates as a classic message broker but also as a streaming platform.
    Top Answer:The solution is open-source freeware.
    Top Answer:Documentation is poor because much of it is in Chinese with no English translation.
    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    7,763
    Comparisons
    6,108
    Reviews
    5
    Average Words per Review
    427
    Rating
    7.0
    12th
    out of 38 in Streaming Analytics
    Views
    1,610
    Comparisons
    1,100
    Reviews
    1
    Average Words per Review
    470
    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.

    Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company17%
    Manufacturing Company8%
    Retailer5%
    VISITORS READING REVIEWS
    Computer Software Company24%
    Financial Services Firm11%
    Manufacturing Company7%
    Government7%
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise43%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise17%
    Large Enterprise60%
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics. Updated: April 2024.
    771,157 professionals have used our research since 2012.

    Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Apache Pulsar is ranked 12th in Streaming Analytics with 1 review. Amazon MSK is rated 7.2, while Apache Pulsar 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 Apache Pulsar writes "The solution can mimic other APIs without changing a line of code". Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Apache Spark Streaming, whereas Apache Pulsar is most compared with Apache Flink, Apache Spark Streaming, Amazon Kinesis, Azure Stream Analytics and Google Cloud Dataflow.

    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.