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Amazon MSK vs Striim comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon MSK
Ranking in Streaming Analytics
12th
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Striim
Ranking in Streaming Analytics
23rd
Average Rating
8.0
Reviews Sentiment
6.2
Number of Reviews
2
Ranking in other categories
Data Integration (47th), Cloud Data Integration (27th)
 

Mindshare comparison

As of August 2026, in the Streaming Analytics category, the mindshare of Amazon MSK is 3.9%, down from 6.5% compared to the previous year. The mindshare of Striim is 1.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Amazon MSK3.9%
Striim1.7%
Other94.4%
Streaming Analytics
 

Featured Reviews

SYED SHAAZ - PeerSpot reviewer
Co-Founder & CTO at Photios AI
Improved data streaming and integration challenges prompt search for alternatives
The integration capabilities of Amazon MSK are not very flexible. If you have your own self-managed Kafka, that helps significantly because you can set up configurations. We are considering self-managed Kafka since our product is only one year old. The Kafka integrations are fine, but the configurations are an issue. The only issue with Amazon MSK that we are facing is the configurations. There are preset configurations and limited configurations that we can set for our unique use case. The product could improve by allowing us to set different configurations. I would also like to see Amazon MSK improve in the area of connectors. We are considering Confluent Cloud because they have many more connectors. They have KSQL DB and governance features. It is slightly costlier, but Confluent offers more flexibility with their connectors.
RV
Data Engineer
Real-time data capture has accelerated releases and now improves trust in our data warehouse
The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do. Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change. The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking. I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"My advice to others is this solution is straightforward and the integration is flawless."
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"What I appreciate most about Amazon MSK is that it doesn't require extensive concern about the configurations; it starts checking how the brokers are functioning, and automatically, Amazon MSK tries to resolve all the problems."
"Amazon MSK has good integration because our team has been undergoing significant changes. Coupling it with MSK within AWS is helpful. We don't have to set up additionals or monitor external environments. This"
"MSK has already launched ZooKeeper and the cluster, and this is included as an out-of-the-box feature, which is very convenient."
"It is a stable product."
"Overall, it is very cost-effective based on the workflow."
"I have Amazon MSK integrated with other AWS services such as S3 and Lambda."
"We were confidently in a situation to call Snowflake as a single source of truth, and I believe with Striim, we were able to do that because without Striim, the SLA would be much higher, and there would not have been much confidence in Snowflake."
"Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency and highlights the variety of sources and targets I have used."
 

Cons

"The only issue with Amazon MSK that we are facing is the configurations. There are preset configurations and limited configurations that we can set for our unique use case."
"The configuration seems a little complex and the documentation on the product is not available."
"The cost of using Amazon MSK is high, which is a significant disadvantage, as the increase in cloud costs by 50% to 60% does not justify the savings."
"In my opinion, there are areas in Amazon MSK that could be improved, particularly in terms of configuration. Initially setting it up and getting it connected was quite challenging. The naming conventions for policies were updated by AWS, and some were undocumented, leading to confusion with outdated materials. It took us weeks of trial and error before discovering new methods through hidden tutorials and official documentation."
"Horizontal scale-out is actually not easy, making it an area where improvements are required."
"One of the reasons why we prefer Kafka is because the support is a little bit difficult to manage with Amazon MSK."
"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 would be really helpful if Amazon MSK could provide a single installation that covers all the servers."
"The user experience of triggering alerts if there's any lag which Striim identified, which is not normal, could intrinsically be done by Striim."
"I think Striim could be improved with better pricing and enhanced documentation."
 

Pricing and Cost Advice

"The platform has better pricing than one of its competitors."
"When you create a complete enterprise-driven architecture that is deployable on an enterprise scale, I would say that the prices of Amazon MSK and Confluent Platform become comparable."
"The price of Amazon MSK is less than some competitor solutions, such as Confluence."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Manufacturing Company
10%
Construction Company
8%
Construction Company
16%
Healthcare Company
13%
Retailer
12%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise7
Large Enterprise5
No data available
 

Questions from the Community

What needs improvement with Amazon MSK?
The integration capabilities of Amazon MSK are not very flexible. If you have your own self-managed Kafka, that helps significantly because you can set up configurations. We are considering self-ma...
What is your primary use case for Amazon MSK?
We are recently working with Amazon MSK at Fortis, where we have multiple dashboards in our revenue intelligence platform. We are streaming data from different apps into those dashboards. The data ...
What advice do you have for others considering Amazon MSK?
We are working with Amazon MSK product, Managed Streaming for Apache Kafka. The main benefits I have seen from using Amazon MSK is that as a B2B enterprise client, we have many SLAs to fulfill. Tra...
What is your experience regarding pricing and costs for Striim?
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
What needs improvement with Striim?
I think Striim could be improved with better pricing and enhanced documentation.
What is your primary use case for Striim?
I use Striim to perform change data capture from relational databases to non-relational databases in my organization. I implement CDC with Striim by transferring data from Oracle Database to MongoD...
 

Comparisons

 

Also Known As

Amazon Managed Streaming for Apache Kafka
Striim Platform
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Sky, UPS, MACY'S, EMAAR, HSBC
Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: July 2026.
909,153 professionals have used our research since 2012.