Amazon Kinesis Reviews

Name: Amazon Kinesis
Brand: Amazon Web Services (AWS)
Rating: 4 (21 reviews)

Vendor: Amazon Web Services (AWS)

4.0 out of 5

21 reviews
90% willing to recommend

141 followers

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What is Amazon Kinesis?UNIXBusinessApplication
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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 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 17% of all views.

Helped 767,319 peers since 2012

Featured reviews

Rajni Kumar Jha

Senior Software Engineer at JPMorgan Chase & Co.

Apr 3, 2024

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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DouglasStein

Director of Engineering at MemeSpark LLC

Oct 10, 2022

We had real-time streaming of data and a very large volume of user activity. We applied machine learning to the data streams. So, Kinesis basically made sure that we got the data, and we didn't lose the data I'm not using it at my current organization. I used it at the last company. Kinesis…

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Sunil Morya

Consultant at Tata Consultancy

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. 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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Amazon Kinesis market share

As of March 2024, the market share of Amazon Kinesis in the Streaming Analytics category stands at 11.4%, marking a decrease of 28.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

Key learnings from peers

Last updated Apr 13, 2024

Valuable Features

"The most valuable feature of Amazon Kinesis is real-time data streaming."
"From my experience, one of the most valuable features is the ability to track silent events on endpoints. Previously, these events might have gone unnoticed, but now we can access them within the product range. For example, if a customer reports that their calls are not reaching the portal files, we can use this feature to troubleshoot and optimize the system."
"The solution's technical support is flawless."

Room for Improvement

"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"I suggest integrating additional features, such as incorporating Amazon Pinpoint or Amazon Connect as bundled offerings, rather than deploying them as separate services."
"There are certain shortcomings in the machine learning capacity offered by the product, making it an area where improvements are required."