Unlocking Real Time IoT Insights with Kafka CrateDB Coreflux

In today’s fast-paced digital landscape, connected devices generate massive amounts of real-time data. To extract valuable insights, organizations need scalable, cloud-agnostic solutions that can handle high-velocity IoT data streams efficiently. Watch the recording on how Datapebbles use Kafka, CrateDB, and Coreflux to work together to power real-time IoT analytics. Learn how to seamlessly ingest, process, and analyze data from millions of connected devices while ensuring low latency and high availability. In this session, we cover: - How Kafka enables scalable and fault-tolerant IoT data streaming - Why CrateDB is the ideal choice for real-time analytics on time series data - The role of Coreflux as a lightweight MQTT Broker to connect with IoT devices Whether you're working on predictive maintenance, anomaly detection, or large-scale IoT deployments, this recording will provide actionable insights to elevate your data strategy. About CrateDB CrateDB empowers organizations with a Unified Data Layer to process, analyze, and act on high-velocity data at scale. Designed for speed, scalability, and flexibility, CrateDB seamlessly integrates real-time analytics, full-text and vector search, and AI-driven capabilities into a single, cohesive platform. About Datapebbles DataPebbles specializes in Data and custom AI solutions that help businesses turn data into actionable insights. DataPebbles develops and implements machine learning, generative AI, and intelligent automation solutions tailored to your specific needs.