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Amazon Kinesis

4.1
(14)

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data such as video, audio, application logs, website clickstreams, and IoT telemetry, so you can get timely insights and react quickly to new information.

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Amazon Kinesis Reviews

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Kinesis review by Rohit K.
Rohit K.
Validated Reviewer
Verified Current User
Review Source

"Process realtime streaming data"

What do you like best?

Amazon kitnesis allows you to process realtime streaming data directly from the aws console.It has many best features such as it is scalable,and processes the streaming data in realtime.It also has a sub module named kinesis data firehouse which allows you to capture transform and store data in the Aws data.By storing such data you can easily process it using AI tools for near real time applications.So it is much helpful for managing realtime streaming data.

What do you dislike?

I have used it for a while and have nothing to dislike about kinesis

Recommendations to others considering the product

I recommend using amazon kinesis for developing webapps which serves the user for realtime applications and have to deal with processing realtime data and give processed output in near realtime.Also you can use it for various other purposes like providing realtime data to your machine learning model and help it train as soon as the data arrives because kinesis stores the data on aws cloud which is easy to access and understand by ml nodels.So it is recommended for doing variety of tasks.

What business problems are you solving with the product? What benefits have you realized?

I have been using amazon kinesis for processing realtime streaming data collected from the webapp or webservice and produce the realtime output by processing it and providing realtime support to the user.I have actually used kinesis for developing apps for clients which required realtime data processing,We used it to store the data on aws cloud,process it using our algorithms and provide end output to the resultant user and all this was done in near realtime so kinesis served a great part in doing sp.

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Kinesis review by User in Information Technology and Services
User in Information Technology and Services
Validated Reviewer
Verified Current User
Review Source

"Best service for temporarily storing raw data to process and save."

What do you like best?

The best thing about kinesis is we can pass on the data to any other service on aws through kinesis firehose. Its the SaaS version of Apache kafka. With very high throughput distributed. We can use it as a pub sub system as well.

What do you dislike?

I dislike that we can not make small query data in to a stream directly for that we have to use Kinesis data analytics and that is an extra thing to do.

What business problems are you solving with the product? What benefits have you realized?

I solved the realtime data processing throgh Amazon Kinesis. I run a Lambda function that takes data from my raw kinesis stream, process it and save it in to database for direct fetch anytime. It takes less time to extract already solved and processed data to display. It helped in the realtime analytics as well.

What Stream Analytics solution do you use?

Thanks for letting us know!
Kinesis review by Ameya K.
Ameya K.
Validated Reviewer
Verified Current User
Review Source

"Real-Time Analytics using Kinesis Data Streaming"

What do you like best?

The configuration of Kinesis Firehose is simple and can be used to stream real-time data from various data sources to Amazon Redshift database in a continuous manner. This eliminates the creating and maintenance of complicated ETL processing pipelines and batch processing delays. This definitely helps in having near real-time data available for analytic purposes.

What do you dislike?

The Kinesis agent configuration needs more flexibility in configuring the data steams to allow simple data manipulation and transformation before processing and loading the the target tables in Redshift.

Recommendations to others considering the product

Pros:

Simple configuration for setting up and getting started. Easy to load real-time data to Amazon Redshift database in a continuous manner which allows us to have real-time data for analytics and dashboards.

Cons:

Needs improvement for on-the-fly data transformation manipulation.

What business problems are you solving with the product? What benefits have you realized?

Have near real-time data for analytics and data visualization using Tableau and QuickSight. Kinesis also allows us to eliminate ETL pipelines for staging the raw data in the database.

Kinesis review by User in Staffing and Recruiting
User in Staffing and Recruiting
Validated Reviewer
Review Source

"Amazon kinesis makes it easy to collect, proc as and analyze real time, streaming data"

What do you like best?

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.

What do you dislike?

Although it is easy to get started with Kinesis, it does present an operational burden when you need to manage shards for the data.

Recommendations to others considering the product

If you need the absolute maximum throughput for data ingestion or processing, Kinesis is the choice. The delay between writing a data record and being able to read it from the Stream is often less than one second, regardless of how much data you need to write.

What business problems are you solving with the product? What benefits have you realized?

Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.

Kinesis review by User in Computer Software
User in Computer Software
Validated Reviewer
Verified Current User
Review Source

"Good alternative to Kafka"

What do you like best?

Very simple setup, very little overhead managing the cluster

What do you dislike?

Working in Java (and Kotlin), had to go through many examples on Github to figure out just how to use it properly.

Recommendations to others considering the product

I can definitely recommend going with this solution over Kafka, for example. The simplicity of not having to manage the overhead of service discovery and administering Kafka will speed up your development. On the other hand, there is vendor lock involved in this solution, but as far as vendor locking goes, you could do much worse than AWS.

What business problems are you solving with the product? What benefits have you realized?

Used Kinesis in order to collect webhook events (via API GW) and stream them to other sevices.

Kinesis review by Chris M.
Chris M.
Validated Reviewer
Review Source

"Good service, but not very transparent."

What do you like best?

Hooks into Lambda nicely, speed is pretty good for throughput when it's working.

What do you dislike?

When you're use to SQS, you want to know more details about processes that are in the pipeline. I know there is an internal "queue" type mechanism but it's not possible to see the status of items that were submitted, or find out if there is a backlog. I wish it acted more like SQS in this respect.

Recommendations to others considering the product

It's not an alternative to SQS. Keep track of your jobs outside of kinesis and make sure there is retry logic outside of your code.

What business problems are you solving with the product? What benefits have you realized?

Trying to find a faster version of SQS that also works with AWS Lambda.

Kinesis review by Mohammed A.
Mohammed A.
Validated Reviewer
Review Source

"The way intelligence "

What do you like best?

Building intelligence for the whole world, in easy to use, and pay per use models. the possibilities are endless

What do you dislike?

You need to keep a Kinesis Stream awake all the time

What business problems are you solving with the product? What benefits have you realized?

We used Amazon Kinesis to develop the capacity building and we achieved an important point.

Kinesis review by Devon A.
Devon A.
Validated Reviewer
Verified Current User
Review Source

"Great for IoT and streaming data"

What do you like best?

Fully managed, lots of integration possibilities, easy to get started with, automatically scalable

What do you dislike?

Requires some configuration to integrate with other Amazon Web Services

Recommendations to others considering the product

Try the tutorials. You can get started in just a few minutes

What business problems are you solving with the product? What benefits have you realized?

Manage and process data from IoT sensors and other devices in a scalable and concurrently processed way

Kinesis review by Administrator in Internet
Administrator in Internet
Validated Reviewer
Review Source

"Dead simple set up, and tight integration into AWS ecosystem"

What do you like best?

We've used Kafka as a messaging system and queue, and by comparison Kinesis is an absolute breeze to use. It ties simply and easily into other data architecture features that AWS provides, and so it is a natural choice for a lot of different data problems.

What do you dislike?

The Ruby APIs and documentation are pretty rough. Creates a dependency on Java, which is annoying, but much less of a headache than Kafka's dependence on Zookeeper.

What business problems are you solving with the product? What benefits have you realized?

Microservice messaging, streaming data, event tracking.

Kinesis review by Obaib E.
Obaib E.
Validated Reviewer
Review Source

"Data analisis streaming"

What do you like best?

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

What do you dislike?

Hard to configuration and setup on production

What business problems are you solving with the product? What benefits have you realized?

big data streaming

Kinesis review by Michael M.
Michael M.
Validated Reviewer
Verified Current User
Review Source

"Streaming data ingestion made easy"

What do you like best?

Ease of setup and use; quick to deploy; good documentation with examples

What do you dislike?

Could benefit from tighter integration with other AWS services as consumers/producers

Recommendations to others considering the product

Try it out

What business problems are you solving with the product? What benefits have you realized?

Analyze and manage streaming data from an unknown number of sources

Kinesis review by User
User
Validated Reviewer
Review Source

"Great product"

What do you like best?

Kinesis is simple to set up and can be used to stream real-time data from various data sources to Amazon Redshift database. This eliminates the creating and maintenance of complicated ETL.

What do you dislike?

I have only used it for a short time and don’t have any problems or concerns as of yet.

What business problems are you solving with the product? What benefits have you realized?

I use it to solve the realtime data processing throgh Amazon Kinesis

Kinesis review by User in Consumer Services
User in Consumer Services
Validated Reviewer
Review Source

"I love this for real time data"

What do you like best?

I love that I can get real time data records. This helps me with immediate action for my client base.

What do you dislike?

I don't like that it takes forever to load when I have to shut down and restart.

What business problems are you solving with the product? What benefits have you realized?

It solves the lag that I had with other programs getting my data to me immediatelym. This makes my clients happy and makes me thrilled.

Kinesis review by User in Financial Services
User in Financial Services
Validated Reviewer
Review Source

"Safe, secure, and fast"

What do you like best?

I had real time access to the data I needed when I needed it.

What do you dislike?

Honestly there is nothing to dislike about this software.

What business problems are you solving with the product? What benefits have you realized?

I was able to cost-effectively process streaming data including video, audio, and application logs.

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