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Amazon Kinesis pros and cons

4.0 out of 5
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Pros & Cons summary

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Prominent pros & cons

PROS

Amazon Kinesis provides scalability, allowing it to handle any amount of data streaming with very low latency.
Integration with Lambda functions enables processing data as it arrives, enhancing functionality.
The platform excels in auto-scaling, auto-sharing, and auto-correction features for seamless data management.
Amazon Kinesis offers a high degree of flexibility for capturing and reprocessing data, even in business-to-business environments.
The ability to track silent events empowers troubleshooting and optimizing systems effectively.

CONS

Kinesis struggles with costs, as it can be expensive, especially with large data volumes, and there is room for improvement in pricing.
Limitations on connecting one Stream to one Lambda are seen as restrictive, and the constraint should be removed.
Kinesis exhibits shortcomings in its machine learning capabilities, indicating an area requiring enhancement.
A two-minute maximum time delay for live streaming could be reduced, and improvements in handling video streams would facilitate integration with third-party analytics.
Issues with Kinesis processing valid data and occasional stability concerns have been noted in various deployments.
 

Amazon Kinesis Pros review quotes

reviewer1476249 - PeerSpot reviewer
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
Oct 26, 2020
Amazon Kinesis has improved our ROI.
JM
Oct 24, 2020
Amazon Kinesis also provides us with plenty of flexibility.
Learn what your peers think about Amazon Kinesis. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
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JL
Oct 28, 2020
The most valuable feature is that it has a pretty robust way of capturing things.
MN
Oct 15, 2020
Everything is hosted and simple.
Sunil Morya - PeerSpot reviewer
Dec 13, 2022
The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us.
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.
MY
Dec 12, 2022
What I like about Amazon Kinesis is that it's very effective for small businesses. It's a well-managed solution with excellent reporting. Amazon Kinesis is also easy to use, and even a novice developer can work with it, versus Apache Kafka, which requires expertise.
PH
Mar 6, 2023
Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it.
Prabin Silwal - PeerSpot reviewer
Jun 24, 2024
The product's initial setup phase is not difficult because we are using the tool on the cloud.
 

Amazon Kinesis Cons review quotes

reviewer1476249 - PeerSpot reviewer
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
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.
JM
Oct 24, 2020
I think the default settings are far too low.
Learn what your peers think about Amazon Kinesis. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,067 professionals have used our research since 2012.
JL
Oct 28, 2020
If there were better documentation on optimal sharding strategies then it would be helpful.
MN
Oct 15, 2020
Could include features that make it easier to scale.
Sunil Morya - PeerSpot reviewer
Dec 13, 2022
The services which are described in the documentation could use some visual presentation because for someone who is new to the solution the documentation is not easy to follow or beginner friendly and can leave a person feeling helpless.
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.
MY
Dec 12, 2022
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.
PH
Mar 6, 2023
Kinesis can be expensive, especially when dealing with large volumes of data.
Prabin Silwal - PeerSpot reviewer
Jun 24, 2024
The tool should focus on having an alert system rather than having to use a third-party solution.