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IoT Platform

Streamline the integration of real-time data from IoT devices into business processes and applications to reduce manual work and accelerate decision-making.

Learn about IoT Platform capabilities

What is OCI IoT Platform?

A New OCI developer service

Oracle Cloud Infrastructure (OCI) Internet of Things (IoT) Platform is a highly scalable, low-latency PaaS that ingests real-time device data, creates a normalized representation, and makes the data available to other services and applications. It allows devices with various data shapes and sizes to communicate in real time, storing the normalized data in Oracle Autonomous AI Database.

As an IoT solution developer, OCI IoT Platform empowers you to rapidly integrate, process, and deliver real-time IoT device data into your GenAI applications with minimal overhead. By connecting your MCP server directly to your IoT data in OCI IoT Platform’s Autonomous AI Database, you have immediate access to advanced database capabilities such as vector search and simplified access to additional OCI services such as Oracle Analytics Cloud. Your applications can also combine vector search with traditional SQL queries. This helps eliminate the need to move data to separate specialty databases and helps overcome common challenges with data complexity, privacy, and operationalizing analytics.

How does OCI IoT Platform work?

Data ingestion

Benefit from a device-agnostic data ingestion process that allows you to seamlessly connect a wide variety of IoT devices—whether they use MQTT, HTTP, or MQTT over WebSockets. OCI IoT Platform’s flexible architecture lets you onboard both modern and legacy equipment without complex integration work. As a result, you can quickly scale your IoT environment, reduce time to value, and avoid vendor lock-in while enabling all your data to be consistently captured and normalized for use across your Oracle Cloud applications. By being device agnostic, OCI IoT Platform helps you future-proof your IoT initiatives, supporting easy expansion and interoperability as your business needs and technologies evolve.

Normalization

Simplify the data normalization process by using digital twin models and adapters to bridge the gap between diverse devices and your business applications. As data streams in from different equipment, adapters translate each device’s unique data format into a standardized digital twin model that reflects the structure and behavior of the physical asset. This helps ensure that, regardless of the original device protocol or data structure, you provide a consistent, unified view for your applications and analytics. OCI IoT Platform removes the complexity of handling device-specific data and empowers your teams to work with reliable, normalized information across your IoT ecosystem.

Data access

OCI IoT Platform gives you flexible and secure options to access your IoT data according to your business needs. Using Oracle Application Express (APEX), you can rapidly build custom dashboards and applications that visualize and analyze real-time or historical device data without needing advanced coding skills. Alternatively, you can directly access normalized data through read-only database views, making it easy to integrate with other systems or perform advanced queries while maintaining data integrity. For real-time processing and integration with event-driven applications, you can use Oracle Advanced Queuing to stream IoT data efficiently and securely to downstream consumers or other Oracle Cloud services.

OCI IoT Platform

Why choose OCI IoT Platform?

Comprehensive

Benefit from consistent, ready-to-use data for your applications, all within one unified Oracle Cloud experience. With OCI IoT Platform, data normalization happens directly within the platform itself, so you don't have to subscribe to additional tools or manage separate data transformation pipelines—everything you need is built in, making setup and ongoing management simpler. This streamlined approach means you can focus your resources on innovation and faster solution deployment, instead of unexpected extra costs and integration complexity.

Ease of use

With OCI IoT Platform, you can take full advantage of autonomous database capabilities and OCI services to treat your IoT data like any other business data. This means you can easily apply advanced analytics, automation, security, and compliance features without learning new tools or workflows. You can also streamline your operations by integrating IoT insights directly into your existing applications and business processes, making it simple to extract value from connected devices. Ultimately, this lets you maximize efficiency and innovation across your organization by managing all your data within one unified, secure, and proven platform.

Autonomous AI Database

OCI IoT Platform is built on Oracle Autonomous AI Database, giving you powerful advantages such as automatic scaling, self-tuning, and self-patching for your IoT data management. Advanced features such as vector search for AI-driven insights and Advanced Queuing for efficient, real-time data streaming are ready for your applications. Built-in security, compliance, and high availability give you peace of mind while eliminating manual database maintenance, letting you focus on extracting value from your data. The result: a resilient, high-performing platform that seamlessly grows with your IoT needs and empowers next-level innovation.

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OCI IoT Platform use cases

Healthcare: Real-time health systems

Collect a continuous stream of health data from connected medical devices and store it securely in OCI. Advanced vector search capabilities in Oracle Autonomous AI Database allow you to quickly identify similar patient cases and detect subtle patterns across vast amounts of physiological data. By integrating large language models, you can automatically generate clinical summaries, highlight anomalies, and surface personalized treatment recommendations for clinicians. This intelligent, real-time analysis empowers healthcare teams to make faster, more informed decisions, helping them enhance patient outcomes.

Healthcare: Medical device manufacturers

Enable your medical devices to securely stream real-time data directly into healthcare applications, providing immediate access to vital patient information. By simplifying data normalization in the cloud, you avoid complexity in your devices and enable seamless interoperability between diverse devices and systems. This streamlined, scalable approach can help accelerate product innovation, enhance patient care, and support regulatory compliance.

Manufacturing: Overall equipment effectiveness (OEE)

By collecting real-time data from your manufacturing equipment, you gain detailed insights into machine performance, downtime, and production bottlenecks. Using AI, you can automatically analyze this information to help predict equipment failures, optimize maintenance schedules, and identify opportunities for process improvements. These proactive measures help you reduce unplanned downtime and streamline operations. As a result, you can significantly boost OEE and increase productivity and operational efficiency across your production line.

Manufacturing: Quality

By integrating device data with Oracle Analytics Cloud, you can gain real-time visibility into how your connected products perform in the field to quickly identify patterns and emerging issues. Advanced analytics help you track quality metrics, detect anomalies, and pinpoint the root causes of product failures and inefficiencies. With these insights, you can implement targeted improvements, proactively address potential problems, and enhance overall product reliability, which can help boost customer satisfaction and your brand reputation.

Transportation and logistics

Track vehicles, cargo, and equipment in real time to gain greater visibility into your operations and proactively manage assets. With AI-powered analytics, you can optimize routes, predict maintenance needs, and analyze driving behaviors to reduce fuel costs, minimize downtime, and prevent unexpected breakdowns. The combination of real-time data and intelligent insights allows you to streamline workflows and allocate resources more efficiently. Together, these technologies can help you reduce operational costs and improve overall service delivery.

Utilities

Automate the collection and analysis of data from smart meters, grid assets, and field sensors, without manual readings and inspections. Real-time monitoring lets you detect issues and manage outages proactively to reduce costly emergency repairs and truck rolls. Centralized data and remote management capabilities streamline operations and help minimize administrative overhead. This increased efficiency allows you to deliver more reliable service to customers while controlling operational costs.