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Pros & Cons summary

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Prominent pros & cons

PROS

Amazon Kinesis provides robust scalability and high data throughput, handling gigabytes within milliseconds.
Integration with Lambda functions enables real-time data processing.
Amazon Kinesis supports real-time data streaming and offers replay features, beneficial for business troubleshooting.
Amazon Kinesis delivers flawless technical support and comprehensive management features.
Amazon Kinesis is accessible to novice developers and offers significant flexibility for business applications.

CONS

Amazon Kinesis could improve its pricing to be more competitive, especially for large volumes.
There are some kind of hard limits on Amazon Kinesis, and if users hit those, they will encounter a throughput exceed error.
Amazon Kinesis lacks first in, first out queuing.
For video streams, there is sometimes a delay when data is being transferred to other services, which could be improved.
Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub.
 

Amazon Kinesis Pros review quotes

MN
Principal Data Engineer at a transportation company with 1,001-5,000 employees
Oct 15, 2020
Everything is hosted and simple.
JM
Senior Software Engineer at a computer software company with 201-500 employees
Oct 24, 2020
Amazon Kinesis also provides us with plenty of flexibility.
PG
Head of BI at Wind Mobility
Oct 26, 2020
Amazon Kinesis has improved our ROI.
Learn what your peers think about Amazon Kinesis. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.
879,259 professionals have used our research since 2012.
HN
IT Linux Administrator and Cloud Architect at Gateway Gulf
Nov 2, 2020
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.
Oct 26, 2020
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.
JL
Senior Engineering Consultant at a tech services company with 201-500 employees
Oct 28, 2020
The most valuable feature is that it has a pretty robust way of capturing things.
RQ
Big Data Architect
Nov 3, 2020
The solution works well in rather sizable environments.
AM
Chapter Lead - Data and Infrastructure (Head of Department) at a media company with 51-200 employees
Nov 19, 2020
Great auto-scaling, auto-sharing, and auto-correction features.
reviewer1476249 - PeerSpot reviewer
Senior Software Engineer at a tech services company with 501-1,000 employees
Dec 21, 2020
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.
PG
Chief Technology Officer at a tech services company with 51-200 employees
Aug 25, 2021
The scalability is pretty good.
 

Amazon Kinesis Cons review quotes

MN
Principal Data Engineer at a transportation company with 1,001-5,000 employees
Oct 15, 2020
Could include features that make it easier to scale.
JM
Senior Software Engineer at a computer software company with 201-500 employees
Oct 24, 2020
I think the default settings are far too low.
PG
Head of BI at Wind Mobility
Oct 26, 2020
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.
Learn what your peers think about Amazon Kinesis. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.
879,259 professionals have used our research since 2012.
HN
IT Linux Administrator and Cloud Architect at Gateway Gulf
Nov 2, 2020
Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors.
Oct 26, 2020
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.
JL
Senior Engineering Consultant at a tech services company with 201-500 employees
Oct 28, 2020
If there were better documentation on optimal sharding strategies then it would be helpful.
RQ
Big Data Architect
Nov 3, 2020
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.
AM
Chapter Lead - Data and Infrastructure (Head of Department) at a media company with 51-200 employees
Nov 19, 2020
Lacks first in, first out queuing.
reviewer1476249 - PeerSpot reviewer
Senior Software Engineer at a tech services company with 501-1,000 employees
Dec 21, 2020
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.
PG
Chief Technology Officer at a tech services company with 51-200 employees
Aug 25, 2021
Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub.