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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:
 

ROI

Sentiment score
4.1
Amazon MSK saves time and money, promotes innovation with flexible pricing, yet some users find costs hard to justify.
Sentiment score
7.9
Striim enhances efficiency by reducing data sync time and incidents, saving organizations significant time and operational costs.
The incidents have disappeared completely since I have been using Striim.
Cloud architect at a tech vendor with 10,001+ employees
Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.
Mainframe lead at Infosys
Since it is now one to two hours, I would say it has saved employee hours and time.
Data Engineer
 

Customer Service

Sentiment score
6.2
Amazon MSK support varies; some praise its effectiveness, while others note average service and seek external assistance.
Sentiment score
6.8
Striim's customer service is praised for prompt, expert assistance, particularly in z/OS architecture and DB2 logs troubleshooting.
They can manage most of our queries, and for what they cannot manage, they guide us through the process of finding out.
Co-Founder & CTO at Photios AI
Amazon's support is excellent.
CTO at Atulya Abhinav Tech Private Limited
They are all knowledgeable about what they do.
Data Engineer
When you contact them, they give you a response straight away and help you identify the issue and fix it.
Technology Specialist Database at a retailer with 10,001+ employees
The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.
Mainframe lead at Infosys
 

Scalability Issues

Sentiment score
6.0
Amazon MSK is viewed as scalable, manageable, appealing to various environments, but may require manual scaling adjustments.
Sentiment score
7.8
Striim performs well with moderate data volumes, is adaptable, and recommended for hybrid clouds, but enterprise-level scalability is untested.
The functionality for scaling comes out of the box and is very effective.
CTO at Atulya Abhinav Tech Private Limited
As a B2B enterprise client, our clientele consists of large ticket clients but low amounts of users.
Co-Founder & CTO at Photios AI
Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.
Data Engineer
I would describe the scalability of Striim as very good, as it adapts well.
Cloud architect at a tech vendor with 10,001+ employees
Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.
Technology Specialist Database at a retailer with 10,001+ employees
 

Stability Issues

Sentiment score
7.3
Amazon MSK is stable with high ratings; minor issues are unrelated to MSK, maintaining success rates of 91% under load.
Sentiment score
7.9
Users generally find Striim stable with occasional slowdowns and initial synchronization issues, but no major crashes or reliability problems.
It doesn't require any maintenance on my end yet, as I haven't had any issues.
Senior Software Engineer at a consultancy with 201-500 employees
That problem has been completely resolved with Striim.
Cloud architect at a tech vendor with 10,001+ employees
Striim was very stable.
Data Engineer
In my experience, Striim is mostly stable.
Mainframe lead at Infosys
 

Room For Improvement

Amazon MSK struggles with integration, configuration complexities, high costs, and operational challenges compared to services like Kinesis.
Striim needs better performance, especially in batch processing, documentation, user setup, and pricing to satisfy users' needs.
The increase in cloud costs by 50% to 60% does not justify the savings.
CTO at Atulya Abhinav Tech Private Limited
The only issue with Amazon MSK that we are facing is the configurations.
Co-Founder & CTO at Photios AI
I had to remove and drop all the clusters and recreate them again, which is complicated in a production environment.
Senior Software Engineer at a consultancy with 201-500 employees
I believe if Striim could use some part of 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.
Data Engineer
They could improve the documentation by showing how to configure with different platforms.
Technology Specialist Database at a retailer with 10,001+ employees
I think Striim could be improved with better pricing and enhanced documentation.
Cloud architect at a tech vendor with 10,001+ employees
 

Setup Cost

Amazon MSK is competitively priced with variable costs, appealing to enterprise users but potentially expensive for some.
Enterprise users find Striim's pricing based on cores and CPU usage costly, but fair for private cloud setups.
Once we started using Kafka, our cloud costs rose by 50% to 60%.
CTO at Atulya Abhinav Tech Private Limited
We use Kafka M5 Large instance, and depending on the instances, that is the cost we have, along with storage cost and data transfer costs.
Co-Founder & CTO at Photios AI
Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.
Technology Specialist Database at a retailer with 10,001+ employees
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
Cloud architect at a tech vendor with 10,001+ employees
It's very fair.
Data Engineer
 

Valuable Features

Amazon MSK integrates AWS services, offering cost-effective, automated scaling, ease of use, real-time analytics, encryption, and event sourcing.
Striim enhances business analytics with real-time data streaming, ease of use, and efficient synchronization, reducing load and overhead.
The scalability and usability are quite remarkable.
CTO at Atulya Abhinav Tech Private Limited
The best features of Amazon MSK are the real-time analytics that are excellent.
Co-Founder & CTO at Photios AI
Amazon MSK is basically Kafka in the cloud, and when you need to create a cluster of Kafka brokers, Amazon MSK helps with that by automatically creating all the brokers according to the configuration you provide.
Senior Software Engineer at a consultancy with 201-500 employees
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.
Cloud architect at a tech vendor with 10,001+ employees
There were significant improvements because once we enabled change data capture, the database was not going down at all.
Data Engineer
It reduces manual intervention because it automatically syncs the data from the warehouse.
Technology Specialist Database at a retailer with 10,001+ employees
 

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.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
12%
Comms Service Provider
9%
Construction Company
8%
Retailer
16%
Construction Company
13%
Healthcare Company
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?
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.
914,322 professionals have used our research since 2012.