Integrate IoT device data to Snowflake
Quick and easy data integration from IoT devices to Snowflake
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 overview
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 Snowflake 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.
HiveMQ and Snowflake better together
Flexible integration options
- Direct Snowflake API integration via the Snowflake Extension (Recommended)
- Simple Data integration via Cloud Storage (S3 or Azure Blob) with the Data Lake Extension
Flexible topic mapping
- Select only the relevant MQTT topics to subscribe to
- Transform data before writing to Snowflake
- Optimize storage costs by not storing everything
Flexible data integration
- 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
Why HiveMQ for MQTT to Snowflake integration?
Business critical reliability
Scalability to support growth
Flexible integration
End-to-end security
Observable insights
