Azure IoT Hub
ThingSpeak
AWS IoT
Particle.io
AWS Greengrass
AWS IoT Device Defender
Blynk.io
Hologram.io
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
Azure IoT Hub Amazon EMRBased on our record, Amazon EMR should be more popular than Azure IoT Hub. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sure MS has a product. It's more expensive and harder to use, though...Azure IOT hub - https://azure.microsoft.com/en-us/products/iot-hub. Source: about 1 year ago
Azure IoT Hub is a managed cloud service which provides bi-directional communication between the cloud and IoT devices. It is a platform as a service for building IoT solutions. Being an azure offering, it has security and scalability built-in as well as making it easy to integrate with other Azure services. - Source: dev.to / over 2 years ago
I am currently working on an IoT Project for my Bachelor's thesis. The goal is to gather data from an existing machine and send it to an Azure cloud via AMQP. To do this I have set up an IoT Hub and will be using the Azure IoT Edge runntime to connect and send the Data. For initial development, I have authenticated my devices to the cloud using symmetric keys generated by the IoT hub. Now I want to switch to... Source: over 2 years ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
AWS IoT - Easily and securely connect devices to the cloud.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
