HiveMQ and Snowflake deliver a powerful end-to-end solution for harnessing IoT data. HiveMQ streams high-volume, real-time IoT data from connected devices and systems, and provides seamless connectivity to Snowflake via the Snowpipe Streaming API.
HiveMQ and Snowflake provide a seamless, end-to-end solution for harnessing IoT data. HiveMQ streams high-volume, real-time data from connected devices and systems directly into Snowflake using the Snowpipe Streaming API, enabling instant, scalable analytics and faster business insights.
HiveMQ’s Snowpipe Extension enables instant, seamless integration of MQTT data from millions of IoT devices into Snowflake using the Snowpipe Streaming API. By eliminating batch processing delays, it empowers organizations to accelerate decision-making, deliver more responsive analytics, and optimize data storage by ingesting only essential IoT data into Snowflake.
Direct Snowflake API integration via the Snowflake Extension (Recommended)
Simple Data integration via Cloud Storage (S3 or Azure Blob) with the Data Lake Extension
Select only the relevant MQTT topics to subscribe to
Transform data before writing to Snowflake
Optimize storage costs by not storing everything
Ingest any MQTT data - payload, topic, timestamp, property
Use MQTT data in its original format as needed
Apply transformation rules for use-case specific needs
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.
HiveMQ offers data integration extensions for major hyperscalers, databases, data analytics platforms, and cloud-based data platforms including Snowflake.
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.
Achieve rapid time-to-value with a platform that is flexible enough to deploy on-premise, in any cloud, or via the fully-managed and feature-rich HiveMQ Cloud offering.