AWS Greengrass Reviews & Product Details

The biggest advantage of AWS IoT Greengrass is that it brings AWS capabilities directly to edge devices. Rather than sending every request to the cloud, Greengrass lets applications, Lambda functions, and containers run locally. This reduces latency and helps devices keep operating even when internet connectivity isn’t available.

Its local messaging, device coordination, and cloud synchronization also make it a strong fit for industrial automation, manufacturing, smart buildings, and other remote environments where reliable on-site operation matters. Review collected by and hosted on G2.com.

Deploying and managing edge software across many devices takes careful planning, especially around hardware compatibility, software updates, and version management. Troubleshooting local deployments can also be more complicated than with cloud-only applications, since problems may stem from the device hardware, the operating system, or the network. Review collected by and hosted on G2.com.

What I like most about AWS IoT Greengrass is its ability to extend AWS services to edge devices and process data locally with low latency. It integrates well with the AWS ecosystem and helps manage IoT deployments more efficiently, especially in distributed environments. Review collected by and hosted on G2.com.

One downside of AWS IoT Greengrass is that the initial setup and configuration can be complex, especially for users new to AWS IoT services. Troubleshooting deployments and managing permissions across devices can also take time in large-scale environments. Review collected by and hosted on G2.com.

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.

It's a solution where the developers can manage and deploy their functions to IoT devices Review collected by and hosted on G2.com.

It is still too much management to take care of Greengrass 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.