AWS Greengrass Reviews & Product Details

With local data processing, it excels in real time applications like IoT and smart environments, enhancing system responsiveness, which is one the best things I like about it. Review collected by and hosted on G2.com.

One downside of AWS Greengrass is the learning curve associated with it, to be able to use it to its full potential, we need to understanding it completely. Review collected by and hosted on G2.com.

Having experimented with various edge computing solutions, AWS Greengrass stands out for numerous reasons:

Local Execution: Greengrass allows for seamless local execution of Lambda functions. This makes edge decisions lightning-fast, reducing the need for round trips to the cloud.

Device Sync: Even with intermittent connections, Greengrass ensures device data syncs whenever connectivity is restored. This has been invaluable for our remote deployments.

Integrated with AWS: Being in the AWS ecosystem, it offers effortless integration with other AWS services, streamlining our operations.

ML Inference at the Edge: For AI-centric operations, Greengrass enables local ML inference, optimizing performance while reducing costs.

Secure: With built-in encryption, we feel confident about data security, both in-transit and at-rest.

Modular: The ability to deploy only necessary software components means we can tailor the solution to our needs, saving on resources. Review collected by and hosted on G2.com.

Nothing as such. Everything is up to the mark. Review collected by and hosted on G2.com.

I like the way it is that comprehensive and we don't need to use any other service for deployment and programming.Also customer support is very good. Review collected by and hosted on G2.com.

I think the prices are bit high but it is acceptable Review collected by and hosted on G2.com.

AWS IoT Greengrass is an AWS cloud service for the Internet of things(IoT) that helps users to build and manage IoT device software. It allows big businesses to transmit huge data to the cloud and manage it so as to reduce storage and data migration costs. Review collected by and hosted on G2.com.

Even though AWS IoT Greengrass is a long sophisticated tool for IoT app development it still lacks in terms of environment disk space provided which is almost 512MB. Review collected by and hosted on G2.com.

I like the fact that it is very easy to build, maintain and deploy the applications using AWS IoT. I also like its compatibility in integrating with the other tools. Review collected by and hosted on G2.com.

It might be bit difficult to master the usage as a newbie in cloud technologies Review collected by and hosted on G2.com.

Its a solution where the developers can manage and deploy there functions to iot devices Review collected by and hosted on G2.com.

It is still to much management to take care of greengras on the devices Review collected by and hosted on G2.com.

i have been using it for 2-3 years , it's a software platform for running local compute , data cashing on connected devices , the best part about AWS greenGrass is you can process device data locally even if the device is temporarily disconnected , you can say it as an advanced version of AWS IOT, it's one of the best service for lambda execution on IOT devices which provides event driven compute functions in response to an action . Review collected by and hosted on G2.com.

comparing with AWS IOT it's little bit hard to learn , and quality of support is not so good!! Review collected by and hosted on G2.com.

What I really like about AWS Greengrass is that reduce latency between the devices and data processing layer, reduce bandwidth costs involved in ingesting large amount of data to the cloud and the compliance and security by retaining the sensitive data locally. Review collected by and hosted on G2.com.

There are some limitations that I see in AWS Greengrass. Lack of local storage in the form of object storage (S3) or a NoSQL database (DynamoDB) forces customers to adopt an unusual pattern of using device shadows for storing telemetry data. This approach is not the most intuitive way of storing and processing data locally. Review collected by and hosted on G2.com.

i have been using AWS Greengrass for 2-3 years , traditionally for building Iot solutions we need to use AWS IOT which was not reliable,secure and efficient when compare to AWS Greengrass ,and the best part about it that it provides you a cloud less solution ,so that latency and connectivity was improved drastically , GreenGrass can run completely offline at low latency and in completely private environment you can send your data to AWS when you need it , using Lambda you can have compute operation at the edge on your hardware , it's very easy to scale up with greengrass group! ! Review collected by and hosted on G2.com.

The quality of support is not so good , other than it all things are good!! Review collected by and hosted on G2.com.

AWS Greengrass is used integrated with AWS IoT . By using AWS Greengrass , we can deploy the lambda functions locally which will sync with the cloud when connected with the internet . By locally deploying to the device , the main benefit is that everytime device doesn't have to go to cloud for decision making , it can take decision by itself. Review collected by and hosted on G2.com.

Very less programming language supports AWS Greengrass and we can deploy using only AWS Greengrass only which is major drawback . We should be able to deploy to device using our local PC . Review collected by and hosted on G2.com.