Confluent, Google Team Up to Provide Streaming Data Platform

By using a fully-managed streaming data service on GCP, users can offload the operating burden of Apache Kafka and stream data at scale in real time to Google Cloud’s big data services. Confluent, which makes a streaming-data platform based on open-source Apache Kafka, on May 22 announced a partnership with Google to make that cloud-based service available on Google Cloud Platform for enterprise production use cases. These projects could include event-driven applications, machine learning for advanced analytics and hybrid-cloud data pipelines, the Palo Alto, Calif.-based company said. By using a fully-managed streaming data service on GCP, users can offload the operating burden of Apache Kafka and stream data at scale in real time to Google Cloud’s big data services, which including BigQuery, Cloud Machine Learning Engine and TensorFlow. This data streaming enables enterprises and developers to focus on generating faster and better business insights instead of managing infrastructure. Built by the original creators of Apache Kafka, Confluent Cloud enacts the company's expertise gained from managing large streaming environments. This is a fully-managed service that enables enterprises to deploy their customer experience projects, fleet management upgrades, fraud detection and other real-time, large-scale initiatives in one place.