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Azure IoT Hub VS Apache Ignite

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

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  3. » Reviews
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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 Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...
  • Azure IoT Hub Landing page
    Landing page //
    2023-03-25
  • Apache Ignite Landing page
    Landing page //
    2023-07-08

Azure IoT Hub features and specs

  • Scalability
    Azure IoT Hub can handle millions of simultaneously connected devices, making it highly scalable for large IoT deployments.
  • Integration with Microsoft Azure
    It integrates seamlessly with other Azure services like Azure Stream Analytics, Azure Machine Learning, and Azure Blob Storage, providing a comprehensive solution for IoT applications.
  • Security Features
    Azure IoT Hub offers robust security features, including device authentication, per-device identity, and secure data transfer, ensuring a high level of security for IoT solutions.
  • Bi-Directional Communication
    Supports bi-directional communication between devices and the cloud, allowing for immediate feedback and control.
  • Device Management
    Provides extensive device management capabilities, such as provisioning, configuration, and firmware updates, which simplifies managing a large number of devices.
  • Real-Time Data Ingestion
    Allows for real-time data ingestion and processing, which is critical for time-sensitive IoT applications.

Possible disadvantages of Azure IoT Hub

  • Complexity
    The extensive set of features and customizations can make the initial setup and onboarding process complex and time-consuming.
  • Cost
    Can be costly for small-scale deployments, especially if you are leveraging multiple Azure services in conjunction with IoT Hub.
  • Learning Curve
    Requires a steep learning curve for developers who are not already familiar with Microsoft Azure and its ecosystem.
  • Dependence on Other Azure Services
    While integration with other Azure services is a pro, it can also be a con as it may necessitate additional services and expenses.
  • Geographical Limitations
    Some services and features may not be available in all geographical regions, which could limit functionality based on location.
  • Latency
    While generally low, latency could be an issue depending on the geographical distance between the IoT devices and the Azure data centers.

Apache Ignite features and specs

  • In-Memory Data Grid
    Apache Ignite provides a robust in-memory data grid that can drastically improve data access speeds by storing data in memory across distributed nodes.
  • Scalability
    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.
  • Distributed Compute Capabilities
    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.
  • Persistence
    Although primarily in-memory, Ignite offers a durable and transactional Persistence layer that ensures data can be persisted on disk, providing a hybrid in-memory and persistent storage solution.
  • SQL Queries
    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.
  • Integration
    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Ignite’s capabilities.
  • Fault Tolerance
    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

Possible disadvantages of Apache Ignite

  • Complexity
    Apache Ignite can be complex to set up and manage, especially when configuring a large, distributed system with multiple nodes.
  • Resource Intensive
    Running an in-memory data grid like Ignite requires significant memory resources, which can increase operational costs.
  • Learning Curve
    Due to its comprehensive features and distributed nature, there is a steep learning curve associated with effectively utilizing Ignite.
  • Configuration Overhead
    There is substantial configuration overhead involved to optimize performance and ensure proper cluster management.
  • Community Support
    Although it has active development, the community support might not be as robust compared to other more mature solutions, possibly leading to challenges in finding solutions to niche issues.
  • YARN Dependence
    For those looking to integrate with Hadoop, Ignite's optimal performance is sometimes reliant on Hadoop YARN, which can introduce additional complexity.

Azure IoT Hub videos

+ Add

Azure Friday | Azure IoT Hub

More videos:

  • Review - How Does Azure IoT Hub Work?

Apache Ignite videos

+ Add

Best Practices for a Microservices Architecture on Apache Ignite

More videos:

  • Review - Apache Ignite + GridGain powering up banks and financial institutions with distributed systems

Category Popularity

0-100% (relative to Azure IoT Hub and Apache Ignite)

Azure IoT Hub

Apache Ignite

IoT Platform
100 100%
IoT Platform
0% 0
Databases
0 0%
Databases
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Azure IoT Hub and Apache Ignite. For example, how are they different and which one is better?
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Social recommendations and mentions

Apache Ignite might be a bit more popular than Azure IoT Hub. We know about 3 links to it since March 2021 and only 3 links to Azure IoT Hub. 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.

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: almost 2 years 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 3 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 3 years ago

Apache Ignite mentions (3)

  • API Caching: Techniques for Better Performance
    Apache Ignite — Free and open-source, Apache Ignite is a horizontally scalable key-value cache store system with a robust multi-model database that powers APIs to compute distributed data. Ignite provides a security system that can authenticate users' credentials on the server. It can also be used for system workload acceleration, real-time data processing, analytics, and as a graph-centric programming model. - Source: dev.to / 7 months ago
  • Ask HN: P2P Databases?
    Ignite works as you describe: https://ignite.apache.org/ I wouldn't really recommend this approach, I would think more in terms of subscriptions and topics and less of a 'database'. - Source: Hacker News / about 3 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features — Part I
    Last days, I started using Apache Ignite as a cache strategy for some applications. Apache Ignite is an open-source In-Memory Data Grid, distributed database, caching, and high-performance computing platform. Source: over 3 years ago

What are some alternatives?

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

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

memcached - High-performance, distributed memory object caching system

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