"Kinesis is a fully managed program streaming application. You can manage any infrastructure. It is also scalable. Kinesis can handle any amount of data streaming and process data from hundreds, thousands of processes in every source with very low latency."
"Great auto-scaling, auto-sharing, and auto-correction features."
"Everything is hosted and simple."
"The most valuable feature is that it has a pretty robust way of capturing things."
"The solution works well in rather sizable environments."
"Amazon Kinesis has improved our ROI."
"The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24 hours. That's an important feature."
"The scalability is pretty good."
"MSK has a private network that's an out-of-box feature."
"If there were better documentation on optimal sharding strategies then it would be helpful."
"Lacks first in, first out queuing."
"I think the default settings are far too low."
"In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to understand what's happening with a particular shard, whether it is published or not, we could not. Even with the logs, if we want to have some kind of logging it is in the shard."
"Kinesis Data Analytics needs to be improved somewhat. It's SQL based data but it is not as user friendly as MySQL or Athena tools."
"Could include features that make it easier to scale."
"Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors."
"Something else to mention is that we use Kinesis with Lambda a lot and the fact that you can only connect one Stream to one Lambda, I find is a limiting factor. I would definitely recommend to remove that constraint."
"It should be more flexible, integration-wise."
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.
Amazon Kinesis is ranked 2nd in Streaming Analytics with 10 reviews while Amazon MSK is ranked 8th in Streaming Analytics with 1 review. Amazon Kinesis is rated 8.4, while Amazon MSK is rated 8.0. The top reviewer of Amazon Kinesis writes "Easily replay your streaming data with this reliable solution". On the other hand, the top reviewer of Amazon MSK writes "Allows you to build and run applications easily". Amazon Kinesis is most compared with Apache Flink, Azure Stream Analytics, Confluent, Apache Spark Streaming and Spring Cloud Data Flow, whereas Amazon MSK is most compared with Confluent, Azure Stream Analytics, Google Cloud Dataflow, Databricks and Cloudera DataFlow.
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