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."Amazon MSK has significantly improved our organization by building seamless integration between systems."
"MSK has a private network that's an out-of-box feature."
"It offers good stability."
"Overall, it is very cost-effective based on the workflow."
"The most valuable feature of Amazon MSK is the integration."
"It is a stable product."
"We find the query editor feature of this solution extremely valuable for our business."
"Technical support is pretty helpful."
"The most valuable features are the IoT hub and the Blob storage."
"It's scalable as a cloud product."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"It provides the capability to streamline multiple output components."
"Provides deep integration with other Azure resources."
"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."
"The configuration seems a little complex and the documentation on the product is not available."
"It would be really helpful if Amazon MSK could provide a single installation that covers all the servers."
"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."
"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 collection and analysis of historical data could be better."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"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."
"The initial setup is complex."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."
"I would like to have a contact individual at Microsoft."
"The UI should be a little bit better from a usability perspective."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
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.
