We performed a comparison between Amazon MSK and Azure Stream Analytics based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of Amazon MSK is the integration."
"It offers good stability."
"Overall, it is very cost-effective based on the workflow."
"It is a stable product."
"MSK has a private network that's an out-of-box feature."
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"Provides deep integration with other Azure resources."
"It's scalable as a cloud product."
"It's a product that can scale."
"The solution's technical support is good."
"The most valuable features are the IoT hub and the Blob storage."
"It provides the capability to streamline multiple output components."
"We use Azure Stream Analytics for simulation and internal activities."
"The configuration seems a little complex and the documentation on the product is not available."
"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."
"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."
"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."
"The solution’s customer support could be improved."
"Its features for event imports and architecture could be enhanced."
"I would like to have a contact individual at Microsoft."
"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews. Amazon MSK is rated 7.2, while Azure Stream Analytics is rated 8.2. The top reviewer of Amazon MSK writes "Efficient real-time transaction tracking but time-consuming installation". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". Amazon MSK is most compared with Confluent, Amazon Kinesis, Google Cloud Dataflow, Apache Flink and Aiven for Apache Kafka, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Apache Flink, Apache Spark and Apache Spark Streaming. See our Amazon MSK vs. Azure Stream Analytics report.
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.