Advanced analytics at the scale of IoT
Traditional data management architectures lack the scalability and flexibility to manage the volume, diversity, and speed of data that IoT generates. Cloudera provides an end-to-end data management platform that enables organizations to capitalize on all of their IoT data and drive advanced analytics and machine learning, in order to derive value from IoT.
Today, customers are using Cloudera Enterprise to power some of the most compelling IoT use cases across industries.
Key use cases
Predictive maintenance
Effectively monitor the condition of your assets in real time—predict failures, reduce downtime, and lower costs.
Connected vehicles/telematics
Enable stream processing and advanced analytics on data from connected vehicles.
Smart cities
Raise the efficiency of public services, improve safety and security, and elevate the citizen experience.
Why Cloudera
Capitalize on all of your IoT data
Easily ingest, store, and utilize all of your IoT and sensor data in real time, or in batch mode, at a lower cost per terabyte.
Real-time IoT analytics
Utilize Apache Kudu and Apache Spark™ to drive real-time processing and analytics on all your IoT data, including data in motion and data at rest.
Hybrid cloud. On-prem. Or both.
Analyze all of your IoT data regardless of where it lands—in the edge, on leading cloud platforms, on-prem, or in a hybrid mode.
Advanced analytics and machine learning for IoT
Accelerate exploratory data science at scale and build machine learning models using Cloudera Data Science Workbench.
Octo Telematics - Transforming insurance services with IoT
Read the Ovum case study on OctoShoppermotion reinvents retail analytics using IoT
Read the case studyCloudera’s IoT partners
Learn how our partner ecosystem can help.
