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The Current State of Public Cloud Enterprise IoT Platforms

Submitted by on September 11, 2018 – 7:49 amNo Comment

Customers are adopting cloud-based IoT because of the rich data platform services that complement the core IoT services. Data ingestion, transformation, data storage, processing, analysis and integration with 3rd party databases are the key capabilities of these data platforms. Mature IoT platforms offer real-time stream analytics powered by Apache Spark and batch processing based on Apache Hadoop. This seamless integration between device management and data platforms makes public cloud IoT services attractive for enterprises.

IoT adoption is experiencing tremendous growth, and so is the complexity involved in designing and deploying the solutions. What started as a simple device management and connectivity service has transformed into a collection of services increasing the complexity. Like other cloud services, IoT is experiencing fragmentation and service sprawl, which has increased the time and cost of deploying a connected solution in the cloud. Majority of the enterprise IoT solutions involve a system integrator or a solutions partner. The in-house development teams are unable to keep up with the pace and complexity involved in rolling out an IoT solution.

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