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Amazon MSK vs Striim comparison

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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
14th
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
22nd
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Data Integration (46th), Cloud Data Integration (25th)
 

Mindshare comparison

As of September 2026, in the Streaming Analytics category, the mindshare of Amazon MSK is 3.9%, down from 6.0% compared to the previous year. The mindshare of Striim is 1.7%, up from 0.7% 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

"The solution's technical support was helpful."
"It is a stable product."
"MSK has a private network that's an out-of-box feature."
"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"
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"The scalability and usability are quite remarkable."
"The most valuable feature of Amazon MSK is the integration."
"Overall, it is very cost-effective based on the workflow."
"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."
"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 acts as the perfect modern bridge for legacy environments, keeping both our development teams and business stakeholders happy."
"Striim is definitely my data migration tool and data reflection syncing tool. It reduces manual intervention because it automatically syncs the data from the warehouse."
 

Cons

"We need to create connectors in Amazon MSK, but there are no default connectors in AWS for that purpose."
"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."
"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."
"The downside of Amazon MSK is that when I needed to make a small change in the MSK configuration, it wasn't possible. I had to remove and drop all the clusters and recreate them again, which is complicated in a production environment."
"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."
"MSK should be easier to integrate with other solutions. It should be more flexible, integration-wise."
"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 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 the initial schema mapping tool in Striim can have a learning curve when dealing with deeply nested mainframe structures or complex copybooks."
"I think Striim could be improved with better pricing and enhanced documentation."
"I would say Striim performance needs improvement because we use more GoldenGate, so I tend to compare GoldenGate with Striim."
 

Pricing and Cost Advice

"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 platform has better pricing than one of its competitors."
"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
16%
Manufacturing Company
10%
Comms Service Provider
9%
Construction Company
9%
Retailer
17%
Construction Company
13%
Healthcare Company
12%
Financial Services Firm
11%
 

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?
It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.
What needs improvement with Striim?
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 c...
What is your primary use case for Striim?
We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest in...
 

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 Amazon MSK vs. Striim and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.