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."Amazon Kinesis has improved our ROI."
"The most valuable feature is that it has a pretty robust way of capturing things."
"Amazon Kinesis also provides us with plenty of flexibility."
"Everything is hosted and simple."
"Great auto-scaling, auto-sharing, and auto-correction features."
"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."
"The solution's technical support is flawless."
"Its scalability is very high. There is no maintenance and there is no throughput latency. I think data scalability is high, too. You can ingest gigabytes of data within seconds or milliseconds."
"The solution operates as a classic message broker but also as a streaming platform."
"Lacks first in, first out queuing."
"Could include features that make it easier to scale."
"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."
"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."
"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"We were charged high costs for the solution’s enhanced fan-out feature."
"In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience."
"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."
"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, Confluent, Amazon MSK, 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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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.
