To maximize the benefit of IoT data, enterprises need an integrated platform to leverage the ability to collect, analyze and act upon this streaming data in real-time. Collection and analysis need to be supported in a secure, scalable and reliable manner, adapting for dynamic fluctuations inherent in changing physical conditions over time. Analysis of real-time streaming data needs to be as easy as possible, in order to capitalize on the benefits of perishable insights generated by IoT data.
Hortonworks supports streaming analytics and the Internet of Things through Hortonworks DataFlow —an integrated data-source agnostic collection platform powered by Apache NiFi and Apache MiNiFi, along with the powerful streaming analytics capabilities of Apache Kafka and Storm. Together, this enables enterprises to leverage real-time streaming data through a single integrated offering for data collection from the very edge of an enterprise’s presence together with analytics accommodating the variety, velocity and volume of big data generated by the Internet of Things.