Integrate MQTT Data with Snowflake
Quick and Easy Data Integration from IoT Devices to Snowflake
Flexible Integration Options
Direct Snowflake API integration via the Snowflake Extension
Real-time data streaming via Kafka Extension
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
HiveMQ and Snowflake Architecture
This extension streamlines MQTT data integration from millions of IoT devices with Snowflake, eliminating the need for third-party integrators or custom solutions. It also helps lower data storage costs by allowing you to configure MQTT data topics and only ingest essential data into Snowflake.
Why HiveMQ for MQTT to Snowflake Integration?
Business Critical Reliability
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Scalability to Support Growth
Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.
Flexible Integration
HiveMQ offers data integration extensions for major hyperscalers, databases, data analytics platforms, and cloud-based data platforms including Snowflake.
End-to-End Security
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Observable Insights
Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.
Simple-to-Deploy
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.