Best IoT Data Analytics Platforms

What is IoT Analytics Software?

IoT data analytics platforms make it possible for businesses to evaluate and visualize sensor data from internet-based devices. They are tools used to understand the continuous flow of unstructured, structured, and time-series data generated by connected devices for organizations to understand historical data and forecast future results.

List of Best IoT Data Analytics Software

Below, we have highlighted 10 of the best IoT data analytics platforms to help you choose the most suitable one for your organization. We have reviewed these platforms on neutral ground, and we take pride in refraining from biased reviews, reports, rankings, or ratings.

1. Google Cloud IoT Core

   Google Cloud IoT Core is a completely managed platform used to manage, connect, and ingest data from millions of devices dispersed worldwide securely and efficiently. It is an IoT data analytics software that allows you to organize global information and render it universally applicable and accessible.

   With Google IoT Core, you can enjoy the ease of device registration and fast-tracking your IoT deployment. This software offers a multiple data stream option that assists in data management. All payloads possess the required information to aid in the identification and segregation of the devices.

   Also, Google Cloud IoT is a scalable platform that enables users to select the best plan at the most affordable pricing. Let’s not forget that it is a fully managed cloud service that eliminates the troubles of any software or hardware updates. Furthermore, the availability of multiple language support like pub-sub mechanism, NodeJS, and python are beneficial for reading and controlling the data for devices.

2. ThingSpeak

   ThingSpeak is one of the most reliable, open-source IoT data analytics platforms for building IoT prototypes within the shortest time frame. The platform provides MQTT and HTTP APIs for transmitting IoT device data to ThingSpeak. IoT device data can be analyzed and visualized on ThingSpeak with MATLAB widgets. You can also export out IoT device data from the ThingSpeak cloud for deep analysis.

   ThingSpeak offers compatibility with several types of IoT devices such as nodemcu, raspberry pi, and Arduino. Also, ThingSpeak enables the creation of public and private channels so that you can send an email invite to any user via your private channel.

3. AWS IoT Analytics

   AWS IoT Analytics is a fully managed platform that allows you to execute complex analytics on huge volumes of IoT data without bothering about the complexity and cost usually needed to create your own IoT data analytics infrastructure.

   By assisting to deal with a massive amount of highly invariable, inconsistent, and noisy data, AWS IoT Analytics (AIA) can help big businesses quickly obtain insight into data. This service collects and analyzes clean IoT data, which is key to the success of big companies nowadays.

4. Datadog

   This is the analytics, security, and monitoring platform for business users, security engineers, IT operation teams, and developers in the cloud age. As a SaaS platform, it automates and integrates infrastructure monitoring, log management, and application performance monitoring to deliver coherent, real-time observability to the entire technology stack of their customers.

   Businesses of all sizes are utilizing Datadog and across a vast range of industries to facilitate cloud migration and digital transformation, enable collaborative efforts among development, security, business, and operations teams, fast track time to market for applications, better understand client behaviors, secure infrastructure, and applications, alleviate time to problem resolution, and monitor crucial business metrics.

5. AT&T IoT Platform

   AT&T IoT data analytics platform offers fully-managed cloud services, as well as multi-network connectivity support for developers of IoT solutions. Also, it transforms and optimizes a massive volume of data while also taking care of security at every level of your team when using their services.

6. BellaDati

   BellaDati is an agile IoT data analytics and reporting software that allows business users to use real-time business data to make informed decisions. It is a pure web application, which means that it requires no installation. It also features a lot of data source connectors.

7. Oracle Internet of Things Cloud

   Oracle IoT offers the broadest range of cloud solutions to power innovation and simplifies IT. Users commend Oracle Internet of Things for its ease of use and straightforward dev-friendly implementation.

8. ThingsBoard

   ThingsBoard is an open-source IoT tool used for data collection, visualization, processing, and device management. It supports device connectivity through industry-standard protocols – HTTP, CoAP, and MQTT and enables both on-premises and cloud deployments.

   ThingsBoard combines performance, fault-tolerance, and scalability, so users never lose their data. ThingsBoard also offers a valuable collection of charts and graphs to utilize from within the package.

   However, you may want to keep in mind that it is somewhat less equipped with scripting parameters. Everything is essentially drag and drop, which means you cannot include additional customized functionality.

9. Apache iota

   Apache iota is an effort undergoing incubation at Apache Software Foundation (ASF), which the Incubator is sponsoring. Apache iota is a unique platform that enables IoT implementation, in addition to solid open-source integration.

10. AWS IoT SiteWise

    AWS IoT SiteWise is a fully managed platform that allows you to collect and arrange data from an industrial system at scale. It enables the easy supervision of equipment across industrial facilities to identify waste, including production inefficiencies, defects in products, and breakdown of processes and equipment.

    This IoT analytics software is adequate and organized and can adapt to your business requirements in development. Moreover, it is reported that data is collected and stored in a secure place in the cloud without having to worry about the risk of losing vital information.

( Also Read: Internet of Things: A Complete Guide To IoT )

How to Choose the right IoT data analytics platforms

When considering these IoT data analytics platforms, there are certain things you should be looking for or examining depending on your solution:

• Privacy/Security

  You must consider how they have resolved privacy and security issues in the past and evaluate their security provisions. It would be best to examine how their software handles security challenges and how it shields you away from the complexity.

• Data plan

  Also, consider whether the vendor offers a reasonable data plan. You’ll want to be able to suspend or pause your data services whenever you want, as well as the ability to determine how much data is being used.

• Service type

  How does the IoT vendor present and sell their services? Some platforms are entirely connectivity platforms, while others are end-to-end services that provide the connectivity, software, and hardware required. It would be best if you considered what your business needs are. How likely are your needs going to vary over time?

• Market Experience

  You should also take into consideration how long the IoT provider has been operational. Although the IoT market is relatively new, it is however rapidly growing. It is recommended to find an IoT provider that has been active in the sector for four years+.

• Mode of connectivity

  What kind of connectivity do you need? Do you want a cellular or Wi-Fi solution for your IoT system? You must examine these needs and consider how the vendor will address them.

• Connectivity

  It is pertinent that you also consider how the vendor’s network coverage will fit your business’s present and future initiatives nicely.

• OTA firmware updates

  Examine how the vendor enables you to send updates and find solutions to bugs on your systems remotely. Is it going to be an easy or complex procedure? (Tip: you want the easy solution).

• Device management

  Consider how the vendor allows you to manage, segment, and monitor IoT devices that are already out in the field.

• Hardware

  Ask if the vendor offers any starter packages, developer kits, or off-the-shelf applications for the particular use case your business is targeting? While you will probably have to need to do a couple of customizations, you will save significant resources (time and effort) by not beginning from scratch.

• API Access/Managed Integrations

  You need to understand how the IoT data analytics platforms integrate all the sophisticated components you need for IoT. These components can include RTOS, application layer, security, cloud connections, firmware updates, device diagnostics, carrier/SIM cards, cellular modems – into a unique package that will ease the workload for your engineering team.

Conclusion

It is crucial to understand that as an organization, you can use IoT data analytics services to monitor the performance of equipment, generate predictive maintenance insights, and better understand special data associated with your devices, such as sound, motion, and temperature.

We hope this list of the best IoT data analytics platforms will ultimately help you choose the vendor that best addresses the needs of your business. Do not forget to do your research before you finally choose any particular vendor. Follow our guidelines above, and you’re guaranteed to make the best decision.