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IT Linux Administrator and Cloud Architect at Gateway Gulf
Real User
Processes data from hundreds to thousands of processes with very low latency
Pros and Cons
  • "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."
  • "Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors."

What is our primary use case?

We use it for:

  • Security 
  • DDoS attacks
  • Server application firewall
  • Kinesis makes it easy to collect the process 
  • Real-time analysis
  • Streaming data

We can get insight and react quickly to new information.

What is most valuable?

Kinesis is in real-time. It enables you to process stream data in real-time. You can drive it in seconds or minutes instead of hours or days.

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 to thousands of processes in every source with very low latency.

What needs improvement?

Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors. 

For how long have I used the solution?

I have been using Amazon Kinesis for two years. 

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How are customer service and support?

We have used their support before. They are quick to help. Support is very good. They can resolve an issue within ten minutes. 

How was the initial setup?

The initial setup was straightforward. The deployment took two months. 

There are 15 employees who work on it in my company. Some roles include myself as the team lead, support, and solution architects. 

What was our ROI?

I have seen ROI. 

What other advice do I have?

Kinesis has the best of Amazon: data streaming, building processes, data analytics, data in real-time are very good. The output and monitoring are easy. It has good performance.

I would rate it a nine out of ten. 

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Big Data Architect
Real User
Great for large environments and has good configuration but needs and experienced person to set it up
Pros and Cons
  • "The solution works well in rather sizable environments."
  • "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."

What is our primary use case?

We use this solution for quite large environments.

We use it to capture and process a lot of data. We use it, for example for data analytics and query and analyze a stream's data.

How has it helped my organization?

We are a sizable organization and as such, have a lot of data. The solution allows for real-time analysis and you can use a scaler to handle data flows. 

What is most valuable?

The solution is very flexible and allows for a lot of configuration. It just offers up a lot of possibilities.

I'm using Amazon S3 and Redshift using Amazon server. I can make large configurations and update in near real-time, so that we have real-time use for batch intervals. 

The solution is great for scanning in order to handle environmental data.

The data stream feature on offer is excellent. We use it quite extensively.

The solution works well in rather sizable environments. We deal with a lot of data and it handles it very well.

The solution has a very good alerts system to allow us to respond in real-time.

The dashboards are excellent.

The solution offers very good data capture and integrates well with Power BI and Tableau, for example.

The product makes it very easy to create jobs.

What needs improvement?

The automation could be better. The solution needs to be better at information capture.

Some jobs have limitations which can make the process a bit challenging.

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.

For how long have I used the solution?

I've used the solution for six or seven years or so.

What do I think about the scalability of the solution?

We work with very large environments and haven't had any issues with feeling constricted by the solution.

How was the initial setup?

Personally, based on my past experience and my long history with the solution, the initial setup was not complex. It was pretty straightforward. I find it very easy to use these tools.

A user will need to understand how to create analytics using processing a large amount of information. There may be legacy solutions in the mix as well. A new user will need to understand the environment and all of the requirements before really digging in.

What I will need, basically, is a data map, where I can find any legacy data. From there I can do the setup and it goes pretty smoothly.

What about the implementation team?

I handle the implementation myself.

Which other solutions did I evaluate?

You can compare this solution to Data Factory and Hadoop. They have a few overlapping characteristics. However, for my industry, Hadoop, for example, wouldn't work as it was lacking some characteristics and parameters and some understanding of the industry itself.

What other advice do I have?

I have a lot of experience in Kinesis and data analytics including in networking in the Amazon AWS environment. My experience is as a big data architect. I draw all environments in AWS. 

On a scale from one to ten, I would rate the solution at a six. It's pretty good, and great for big environments, however, you do need to be well versed in the product to set it up.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Amazon Kinesis
November 2024
Learn what your peers think about Amazon Kinesis. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
816,406 professionals have used our research since 2012.
Chief Technology Officer at a tech services company with 51-200 employees
Real User
Good scalability and tech support
Pros and Cons
  • "The scalability is pretty good."
  • "Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."

What is our primary use case?

We do data acquisition based on what is pumped from the remote data and process it centrally so that we may present to our customers meaningful reports, charts, additional layers of support, or alerts. 

What is most valuable?

At the moment, I am not using Amazon Kinesis, but Azure Event Hub, which I have found to be more meaningful and easier to use. 

I like the event bubbling feature of Amazon Kinesis, although I ultimately switched to Azure Event Hub. Both solutions have similar features, but the latter offers us certain operational advantages. 

What needs improvement?

Amazon Kinesis is not a bad product, but Azure Event Hub provides us with certain operational advantages, as our focus is on Microsoft related coding. This is why .NET is what we use at the backend. While we can use both Azure Event Hub and Amazon Kinesis towards this end, I feel the latter to be less customized or developed for use in connection with the server-less programming.

Amazon Kinesis has a less meaningful and easy use than Azure Event Hub. 

Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub. 

For how long have I used the solution?

I have been using Amazon Kinesis for the past year, although I have since switched to Azure Event Hub. 

What do I think about the scalability of the solution?

The scalability is pretty good. One can have any number of nodes spawned or replicated on the primary. Any load can be handled, perhaps a few terabytes with ease in around 15 seconds. One can scale up to this. 

How are customer service and technical support?

While we have not had occasion to contact Amazon tech support concerning the solution, we have in relation to other matters. We felt it to be good. 

How was the initial setup?

The initial setup and configuration of Amazon Kinesis was more involved than that of Azure Event Hub. 

What's my experience with pricing, setup cost, and licensing?

The solution's pricing is fair. The trick lies in Amazon's pricing. They charge according to the different layers of or types of data that is transfered.

Which other solutions did I evaluate?

In addition to Azure Event Hub, we also have experience with Apache Kafka, which I feel to offer greater power but more complex configuration. This solution has more features for a variety of purposes. 

What other advice do I have?

The question of whether I would recommend Amazon Kinesis over Azure Event Hub is tricky. While both have their advantages and I consider them to be almost equal, we feel the latter to be better suited to our environment, which is why we went with it. The data transferring policies and associated costs of Amazon were the deciding factors for me.

I rate Amazon Kinesis as an eight or nine out of ten. 

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Download our free Amazon Kinesis Report and get advice and tips from experienced pros sharing their opinions.
Updated: November 2024
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Buyer's Guide
Download our free Amazon Kinesis Report and get advice and tips from experienced pros sharing their opinions.