We performed a comparison between Amazon Kinesis and Apache Pulsar based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics."The solution's technical support is flawless."
"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."
"Amazon Kinesis's main purpose is to provide near real-time data streaming at a consistent 2Mbps rate, which is really impressive."
"I find almost all features valuable, especially the timing and fast pace movement."
"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."
"Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it."
"I like the ease of use and how we can quickly get the configurations done, making it pretty straightforward and stable."
"The scalability is pretty good."
"The solution operates as a classic message broker but also as a streaming platform."
"Kinesis can be expensive, especially when dealing with large volumes of data."
"I suggest integrating additional features, such as incorporating Amazon Pinpoint or Amazon Connect as bundled offerings, rather than deploying them as separate services."
"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."
"For me, especially with video streams, there's sometimes a kind of delay when the data has to be pumped to other services. This delay could be improved in Kinesis, or especially the Kinesis Video Streams, which is being used for different use cases for Amazon Connect. With that improvement, a lot of other use cases of Amazon Connect integrating with third-party analytic tools would be easier."
"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."
"If there were better documentation on optimal sharding strategies then it would be helpful."
"One area for improvement in the solution is the file size limitation of 10 Mb. My company works with files with a larger file size. The batch size and throughput also need improvement in Amazon Kinesis."
"One thing that would be nice would be a policy for increasing the number of Kinesis streams because that's the one thing that's constant. You can change it in real time, but somebody has to change it, or you have to set some kind of meter. So, auto-scaling of adding and removing streams would be nice."
"Documentation is poor because much of it is in Chinese with no English translation."
Amazon Kinesis is ranked 1st in Streaming Analytics with 24 reviews while Apache Pulsar is ranked 12th in Streaming Analytics with 1 review. Amazon Kinesis is rated 8.0, while Apache Pulsar is rated 8.0. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of Apache Pulsar writes "The solution can mimic other APIs without changing a line of code". Amazon Kinesis is most compared with Azure Stream Analytics, Amazon MSK, Confluent, Apache Flink and Spring Cloud Data Flow, whereas Apache Pulsar is most compared with Apache Flink, Apache Spark Streaming, Amazon MSK, Azure Stream Analytics and Google Cloud Dataflow.
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