We performed a comparison between Amazon MSK and SAS Event Stream Processing based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics."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."
"The most valuable feature of Amazon MSK is the integration."
"It is a stable product."
"Overall, it is very cost-effective based on the workflow."
"It offers good stability."
"The solution is beneficial on an enterprise level."
"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."
"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."
"The configuration seems a little complex and the documentation on the product is not available."
"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."
"It should be more flexible, integration-wise."
"The persistence could be better."
Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while SAS Event Stream Processing is ranked 14th in Streaming Analytics with 1 review. Amazon MSK is rated 7.2, while SAS Event Stream Processing 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 SAS Event Stream Processing writes "A solution with useful windowing features and great for operations and marketing". Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Aiven for Apache Kafka, whereas SAS Event Stream Processing is most compared with Apache Spark Streaming and Apache Flink.
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.
