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Apache Flink VS Azure IoT Hub

Compare Apache Flink VS Azure IoT Hub and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Azure IoT Hub logo Azure IoT Hub

Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Azure IoT Hub Landing page
    Landing page //
    2023-03-25

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Azure IoT Hub videos

Azure Friday | Azure IoT Hub

More videos:

  • Review - How Does Azure IoT Hub Work?

Category Popularity

0-100% (relative to Apache Flink and Azure IoT Hub)
Big Data
100 100%
0% 0
IoT Platform
0 0%
100% 100
Stream Processing
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Azure IoT Hub. It has been mentiond 29 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.

Apache Flink mentions (29)

  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 15 days ago
  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 29 days ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 2 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
View more

Azure IoT Hub mentions (3)

  • Looking for Microsoft Azure based alternative to Adafruit IO Feeds
    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: 12 months ago
  • Getting Started With Azure IoT Hub
    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 / about 2 years ago
  • How to get the EK and Registration ID from a TPM 2.0 module on Raspian
    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

What are some alternatives?

When comparing Apache Flink and Azure IoT Hub, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

AWS IoT - Easily and securely connect devices to the cloud.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.