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."MSK has a private network that's an out-of-box feature."
"The most valuable feature of Amazon MSK is the integration."
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"It offers good stability."
"Overall, it is very cost-effective based on the workflow."
"It is a stable product."
"The solution's technical support is good."
"We use Azure Stream Analytics for simulation and internal activities."
"The most valuable features are the IoT hub and the Blob storage."
"We find the query editor feature of this solution extremely valuable for our business."
"It's a product that can scale."
"Technical support is pretty helpful."
"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."
"I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop."
"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 would be really helpful if Amazon MSK could provide a single installation that covers all the servers."
"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."
"It should be more flexible, integration-wise."
"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."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"The initial setup is complex."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."
"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."
"I would like to have a contact individual at Microsoft."
"Its features for event imports and architecture could be enhanced."
Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Azure Stream Analytics is ranked 4th in Streaming Analytics with 21 reviews. Amazon MSK is rated 7.2, while Azure Stream Analytics 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 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, Aiven for Apache Kafka and Apache Pulsar, 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.