Amazon Kinesis Reviews

Name: Amazon Kinesis
Brand: Amazon Web Services (AWS)
Rating: 4 (26 reviews)

Vendor: Amazon Web Services (AWS)

4.0 out of 5

26 reviews
88% willing to recommend

150 followers

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What is Amazon Kinesis?

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.

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Amazon Kinesis is the #2 ranked solution in Streaming Analytics tools. PeerSpot users give Amazon Kinesis an average rating of 8.0 out of 10. Amazon Kinesis is most commonly compared to Databricks: Amazon Kinesis vs Databricks. Amazon Kinesis is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.

Helped 814,649 peers since 2012

Featured reviews

Rajni Kumar Jha

Senior Software Engineer at JPMorgan Chase & Co.

It is not compulsory to use Amazon Kinesis. If you don't want to use the data streaming, you can use just the Kinesis data firehose. Using the Kinesis data firehose is compulsory because we can't store all chats and recordings in Amazon S3 without it. When a call comes in the Amazon Kinesis instance, it will go to Data Streams if we use it. Otherwise, it will go to the Kinesis data firehose, where we need to define the S3 bucket path, and it will go to Amazon S3. So, without the Kinesis data firehose, we can't store all the chats and recordings in Amazon S3. Using Amazon Kinesis totally depends upon the user's requirements. If you want to use live streaming for the data lake or data analyst team, you need to use Amazon Kinesis. If you don't want to use it, you can directly use the Kinesis data firehose, which will be stored in Amazon S3. Overall, I rate the solution an eight out of ten.

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Sunil Morya

Consultant at Tata Consultancy

The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us. The data is time-stamped, and the data is in sequence, so we don't need to maintain the sequence or order of the data, and multiple consumers can reference the data in the Kinesis Data Streams simultaneously. Using the same data one application can perform Task A, and another application can perform Task B. The Kinesis Data Stream is integrated with Amazon CloudWatch where we can monitor all the requests of who wants to read information, what kind of APIs are being requested, what errors there are, who is producing them, and who are the data consumers. All the information is logged in one spot and this allows us to identify the problematic points easily. The solution allows us to apply the security so the consumers can have access, based on the subscription they have. Amazon Kinesis has a fan-out feature that allows us to increase the throughput when the number of consumers increases, instead of having to pull the data from the consumer side the information is posted by the solution itself.

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Prabin Silwal

Senior Engineering Consultant at ASSURANCE IQ, INC.

I am not exactly sure about where improvements are needed in the tool. When I was working on the tool, it was very scalable, and the only thing we needed in our company was temporary streaming stuff that could work well. We didn't want to set up our own Kafka, other queues, or processing systems. As it is a cloud tool, it is easy for us to use the tool, and it satisfies all our requirements. Maybe for the other cases, if we need, then it may need some improvements. The tool satisfies our particular needs. Currently, the pipeline setup is very simple. For our particular use cases, it is because we just want to get the data and send it to the different data lakes or some logging system. Previously, we also used Amazon Kinesis to log those to Splunk, and later on, we removed Splunk and transferred that to Datadog. For our use cases, I don't want any new features in the tool. Amazon Kinesis' use case is for collecting, processing, and analyzing. If anything can be added to the tool, then I feel one should be able to use the same kind of tool so that everything is there in the product, like an alert system, and so that one can analyze, make a query, and do sourcing from the solution itself rather than using other logging and monitoring systems. The tool should focus on having an alert system rather than having to use a third-party solution. We can just get the data over Amazon Kinesis, and we can directly use all the benefits of current analytical tools, like in the areas involving BI, Looker, and Tableau. One would not need to buy the aforementioned tools, and we can just get started with Amazon Kinesis.

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Amazon Kinesis mindshare

As of November 2024, the mindshare of Amazon Kinesis in the Streaming Analytics category stands at 10.6%, down from 15.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

Key learnings from peers

Last updated Sep 12, 2024

Valuable Features

"There is no problem with the tool's stability."
"The product's initial setup phase is not difficult because we are using the tool on the cloud."
"The integration capabilities of the product are good."

Room for Improvement

"There are some kind of hard limits on Amazon Kinesis, and if you hit that, then you will get the throughput exceed error."
"The tool should focus on having an alert system rather than having to use a third-party solution."
"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."

Pricing

"I think for us, with Amazon Kinesis, if we have to set up our own Kafka or cluster, it will be very time-consuming. If one considers the aforementioned aspect, Amazon Kinesis is a cheap tool."
"I rate the product price a five on a scale of one to ten, where one is cheap, and ten is expensive."
"Amazon Kinesis is an expensive solution."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon Kinesis Buyer's Guide for additional reliable information.