- It has a deep interoperability with business intelligence (BI) tools, allowing it to connect multiple devices around the globe through the tools themselves.
- It connects globally distributed industrial devices into a single network that can be managed efficiently and serves as a new data source for an organization’s analytic systems to support improved operational efficiency.
- It uses the Spark Machine Learning Libraries (MLlib) to run classification algorithms on very large datasets, relying on cloud-based machines where Spark can be installed and customized.
- It is fully managed, with downtime-free upgrades and maintenance and seamless scaling, and it provides the benefits of operating on almost NoOps.
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