HiveMQ, the global leader in IoT data streaming, 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 got its start in the automotive industry more than 13 years ago – BMW was one of our first customers – and we’ve been building data streaming solutions on the back of industry standard MQTT ever since,” said Dominik Obermaier, CEO and Co-founder, HiveMQ. “By partnering with Snowflake, we’re delivering on our promise to help customers get more value from their data. Our IoT data streaming platform provides the foundation needed to stream data directly into Snowflake’s AI Data Cloud, to enable advanced analytics and real-time insights crucial for improving operations across the automotive value chain.”
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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.
“HiveMQ’s proven enterprise data streaming capabilities built on the MQTT standard are a significant asset to the AI Data Cloud for Manufacturing, as we push into the automotive space,” said Tim Long, Global Head of Manufacturing, Snowflake. “Through deep integrations with key IoT platforms, such as HiveMQ, we’re addressing the evolving needs of our growing number of automotive customers, enabling them to connect real-time IoT data with their broader data landscape in Snowflake.”
SOURCE: PRWeb