Google offers devices that can simply integrate and connect to the Google cloud platform. It can securely connect through google cloud and ingest data from globally dispersed devices. It offers a range of services along with big data analytics. This solution, available in on-premises and cloud deployment modes, is useful for a variety of end users, such as data scientists, application developers, business analysts, and consultants.
Some of the features of Google devices:
Device manager: The device manager creates the identity of a device, and delivers the mechanism for validating it when connecting. It also preserves a logical configuration of each device and can be used to remotely control these from the cloud.
Protocol bridge: The protocol bridge provides connection endpoints for protocols with instinctive load harmonizing for all device networks.
End-to-end security: Enable end-to-end security using asymmetric key authentication over TLS 1.2; CA signed certificates can be used to verify device ownership.
Solitary global system: Link all devices and gateways to Google Cloud over standard protocols, such as MQTT and HTTP, through the protocol endpoints.
Out-of-box data perceptions: Use downstream analytic systems by integrating with Google Big data analytics and ML services such as Cloud Dataflow, BigQuery, Cloud Bigtable, ML, Google Data Studio, or partner BI tools.
Completely managed and scalable: The service is serverless and does not require up-front software installation.
Brings ML to the edge/on-premises: Cloud IoT Core securely connects with Cloud IoT Edge to deploy machine-learning models on gateways and edge devices. The deployed model can change raw data to actionable insights.
Permit high-frequency, low-latency communication: Commands are fast, frequent, and one-time directives sent to devices. Configurations are tenacious directives that, when using MQTT, are transported to all subscribed devices.
Real-time metrics with Stackdriver Monitoring: Use Stackdriver Monitoring to generate dashboards that display data like the total number of active devices in a registry. Also, set up alerts based on metric thresholds.
All device logs in one place: Connection and error logs are placed in Stackdriver Logging alongside audit logs.
Google provides its AoT solution through Google Cloud IoT Core. Google’s global clientele base is spread across various industries, such as automotive, banking, consumer goods, education, energy, engineering, entertainment, environmental, financial services, food, beverage, government, healthcare, insurance, manufacturing, media, retail, technology, telecommunications, transportation, and travel & hospitality. Google Cloud IoT Core offers analytics solutions to enterprises. The company is striving to expand its portfolio with new technological developments. To accomplish this, Google has invested a significant share (15% during the last 3 years) of its revenue on R&D activities.
- Lack of userfriendlinessThe Google Cloud IoT service is not very user-friendly, especially for those who are not very familiar with IOT systems. Also, it is not easy to set-up a new project. Show More
- Needs Better Authentication FeaturesBetter authentication features are required. Secure information can be easily accessed by anyone who has the password. Show More
- ExpensiveThis tool is costly, especially while dealing with multiple users.
- Complex database connectivityThe data files are located in a remote place, thus it is difficult to have direct control over the data. Show More
- Mobile App needs improvisationThe mobile version of this cloud is not as good as the web version available on Google Drive. Show More
- Accuracy IssueThe Google Analytics service is not very accurate. A certain percentage of errors have been identified in the reports. Also, this service does not offer in-depth technical support from Google. Show More
- Bad Customer SupportBad customer support, as the help desk is outsourced to other countries where English is not the first language, and the support team is not well-versed with the details of Google Analytics. Show More
- Difficult to understandThe software is complex, especially for new users. Also, measurements are not easy to understand (i.e., page value). Show More