[Internet of Things] Top 25 Open Source IoT Frameworks in the Internet of Things Era (2)

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Link: Top 25 Open Source IoT Frameworks in the Internet of Things Era (2)

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01. No.13 Oracle

Oracle is a familiar name when it comes to providing solutions for enterprise management. This time around the Internet of Things, bringing the game of IoT frameworks to a higher level. IoT architectures are designed to handle the massive amounts of data collected from a network of interconnected devices, where the flow of information from devices to the cloud is tightly connected to avoid data leakage.

Pros: Properly authenticate connected devices; create a unique identity for each device; transmit information through a secure environment.

Price: Get a quote on request.

Website address: https://www.oracle.com/in/internet-of-things/

02. No. 14 SAP

The core of the SAP IoT solution depends on the cloud platform design to build and maintain powerful IoT applications, which can be said to be an open source IoT cloud platform. Following modern technological trends, it also paves the way for developing IoT tools using ML and AI. In addition, devices connected under the IoT open source framework can be easily integrated into cloud platforms.

Pros: Provides real-time data analytics; simplifies data storage and transfer; uses AI for predictive analytics.

Pricing: SAP offers IoT services under plans with a minimum transaction price of $1.

Website address: https://www.sap.com/india/products/iot-platform-cloud.html

03. No.15 Microsoft Azure

Microsoft Azure is a futuristic IoT solution for easy integration of devices and it is one of the best open source IoT platforms ever created. The four "S" factors that made it into the list of top IoT frameworks include: Security, Scalability, Security, and Simplified approach. The working principle of the security aspect is detection assessment, diagnosis, stabilization and shutdown, which covers the entire security framework.

Advantages: high cost performance; pre-configured solution; perfect security mechanism.

Price: It offers a trial version and you can get a quote via price request if you want.

Website address: https://azure.microsoft.com/zh-cn/overview/iot/

04. No.16 Google Cloud Platform

Two important elements in Google Cloud Platform that provide IoT ecosystem solutions include BIG Query and Google Cloud Data Studio, which are great examples of open source IoT cloud platforms. This double combination helps to analyze the data up to the last "T" and give relevant output. Without a doubt, cloud is considered as the best IoT system for E2ES.

Pros: Handles large amounts of data; provides critical insights; simplifies workflow for IoT systems.

Price: The price of Google IoT Core depends on the amount of data, the first 250MB is free. Users have to refer to the official website post for pricing as per the requirement.

Website address: https://cloud.google.com/solutions/iot

05. No.17 IBM Watson

It's hard to separate IBM from the innovation, the IBM Watson IoT platform provides many of the desired facilitations for the collection and storage of data over time, it also provides insight through the analysis of usage data. The rebranded IBM Bluemix hybrid cloud platform provides access to applications and smooth integration into connected networks.

Pros: Simple dashboard for better data visualization; secure transfer and storage of devices; dynamic data mining.

Price: Pricing on request.

Website address: https://www.ibm.com/in-zh/internet-of-things

06. No.18 Hewlett Packard Enterprise

Hewlett Packard Enterprise seems to have the perfect solution for general IoT, and it is helping organizations across the enterprise to derive tangible monetary benefits from raw data. Key features include scalability, which is the end product in the field of solutions offered by cloud platforms.

Pros: Suitable for large enterprises such as automobiles; cloud solution simplifies data collection process; makes data visually appealing and comprehensive through analysis reports.

Price: Pricing upon request.

Website address: https://www.hpe.com/in/en/solutions/iot-platform.html

07. No.19 DataV by Bsquare

Bsquare's DataV improves the working experience of IoT systems, and it has links with some pioneers in the field of IoT frameworks such as Google, Amazon, and Microsoft. The main function of this IoT framework is to maintain data storage while providing real-time analysis of collected data.

Pros: Easy to build, design and embed systems; provide solutions to various IoT-based problems; store data in a secure environment.

Prices: Get pricing details on request.

Website address: https://www.bsquare.com/

08. No.20 Mindsphere by Siemens

Siemens' mind sphere is considered one of the cost-effective tools for this dual purpose. First, it makes it easy to develop applications; second, it makes it easy to integrate applications with cloud platforms. Users can choose from a variety of open UIs, which provide a range of tools for users and developers.

Pros: Connectivity with local businesses; real-time processing of data; secure storage of data.

Price: Priced on request.

Website address: https://siemens.mindsphere.io/en

09. No.21 Ayla Network

Ayla Network fulfills the dual purpose of application development through the AMAP platform. At the same time, it provides service-based solutions for enterprises. Therefore, it acts as a PaaS (i.e. Platform as a Service) provider.

Pros: Accelerated development of IoT-based products; continuous support during the development phase; real-world insights from data collected from connected devices.

Price: It offers a free trial, and pricing details are available through an inquiry.

Website address: https://www.aylanetworks.com/

10. No.22 MBED IoT Device platform

The MBED IoT device platform works on a specially designed operating system to allow IoT devices to run smoothly on related open source platforms. It provides both cloud services to process data streams and developer tools to build and design applications. It should be noted that the device platform can be used on the Apache 2.0 Arm MBED computer platform.

Pros: Easy to use the mbed platform; quickly process data for reporting; assist in application development.

Price: Priced on request.

Website address: https://os.mbed.com/

11. No.23 Amazon Web Services [AWS]

As the name suggests, AWS is an IoT platform, and at its heart lies the console, as it facilitates database management, including extracting and computing data. Stored data packets are transmitted through a complex protective barrier via a secure device gateway. It also offers an SDK, derived from links to technology names like Intel and Broadcom.

Advantages: Distribute the application to various networks; maintain the persistence of the application; ensure the availability of the application.

Prices: Prices depend on the type of service provided, please visit the official website for more information.

Website address: https://aws.amazon.com/iot/

12. No.24 Mocana

It is a security-based IoT platform that currently serves more than a hundred companies. It provides security-related services to various companies and maintains connectivity of devices. Pros: Comprehensive security mechanism; ensures device integrity; authenticates and registers connected devices.

Price: Priced on request according to the type of service required.

Website address: https://www.mocana.com/

13. No. 25 RTI

Using various types of IoT brings a new set of challenges related to system integration, performance and reliability. Connext DDS provides a solution for data security by connecting applications to each other's data rather than to each other. This means that data is transferred from the application via a more secure centralized data bus software.

Pros: Ensures data flow; Provides effective security at all locations; It simplifies the connectivity framework.

Price: Priced on request.

Website address: https://www.rti.com/industries

14. Summary

The list of the top 25 open source IoT frameworks above demonstrates the diversity of operations and functionality, but the core is largely data processing through sensors and ultimately a self-sufficient world of machines. Smart cities and smart homes may not be far-fetched ideas, especially with the rapid development of AI and machine learning technologies helping the IoT ecosystem.