HiveMQ's proven enterprise data streaming capabilities built on the MQTT standard.
HiveMQ announced it has partnered with Snowflake to support the acceleration of the AI Data Cloud for Manufacturing through a new automotive-specific solution. Building on the recent launch of the HiveMQ Enterprise Extension for Snowflake, this expanded collaboration enables automotive manufacturers, suppliers, and more to seamlessly integrate real-time IoT data for enhanced analytics and operational efficiencies. HiveMQ is already helping industry leaders like BMW and Mercedes Benz transform business operations through reliable and scalable data collection, real-time insights, and predictive analytics.
HiveMQ and Snowflake, the AI Data Cloud company, provide automotive manufacturers, suppliers, dealers, and fleet managers with the tools they need to make data-driven decisions based on the massive influx of data generated across their ecosystems without sacrificing security or governance standards. HiveMQ’s IoT data streaming platform, built on MQTT’s publish/subscribe architecture for seamless integration across OT and IT systems, ensures businesses can efficiently connect, stream, and govern their data in real-time, making it AI-ready within their Snowflake environment.
Through this collaboration, joint customers in the automotive manufacturing space can now:
- Integrate Real-Time IoT Data with Enterprise Data: Seamlessly forward MQTT data, including payloads, topics, and timestamps, into Snowflake using the HiveMQ Enterprise Extension, enabling a unified view of IoT and business-critical datasets.
- Leverage a Scalable and Reliable Platform for Automotive Data: Support the massive data volumes generated by software-defined and autonomous vehicles with an architecture designed for high-resolution sensor and camera data, now directly integrated with Snowflake’s scalable platform.
- Drive New Revenue Opportunities Through Data Monetization and Enhanced Customer Experiences: Combine real-time IoT data with other business data in Snowflake to gain a comprehensive view of customer interactions and vehicle performance, enabling personalized experiences and secure data sharing through Snowflake Marketplace.
- Unlock and Scale Advanced Analytics with AI/ML Capabilities: Fuel AI and ML tools within Snowflake by providing a continuous stream of clean and contextualized IoT data, accelerating innovation in vehicle design, production quality, and predictive maintenance.
For more information, visit hivemq.com.
