Easily ingest data using SDKs, rapidly model data and configure policies and rules, and enrich data with external sources.
Encrypt data in-flight and at rest, with additional hot and cold data storage, data streaming and data freshness capabilities.
Easily manage increases in data volume and processing needs, plus complex event processing and self-healing of microservices.
Leverage data exploration and IoT-specific BI capabilities around individual devices and events, aggregations of events and time series.
Enable custom code integrations and connections. Expose and leverage insights from external systems and applications.
Leverage out-of-the-box analytics to easily generate and share custom dashboards and reports.
Develop, train and test, productize and run machine learning models with high efficiency and ease.