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Extension

HiveMQ Enterprise Extension

for Snowflake

This extension seamlessly integrates MQTT data with Snowflake, unlocking the full potential of IoT data analytics.

Forward MQTT messages directly to Snowflake using The HiveMQ Enterprise Extension for Snowflake

Overview

Snowflake is a popular cloud-based data management and data warehousing platform designed to store, process, and analyze data. The fully managed Snowflake data platform offers efficient data storage, transformation, and management. The HiveMQ Enterprise Extension for Snowflake makes it possible to:

  • Forward MQTT messages directly to Snowflake via the Snowpipe Streaming SDK without additional infrastructure.
  • Ingest MQTT data in its original format into Snowflake, including payload, topic, timestamps, and more.
  • Use data transformation tools in Snowflake to create use-case-specific tables, ensuring flexibility for current and future applications.

HiveMQ Snowflake

HiveMQ uses the Snowpipe Streaming API for Faster Performance

Why HiveMQ and Snowflake?

HiveMQ’s MQTT platform is the ideal choice for exploiting your Snowflake investment by combining IoT data with other data. Unlock the power of IoT with HiveMQ and Snowflake with these key features:

Real-time analytics

Analyzing IoT data provides real-time insights into device performance, user behavior, and environmental conditions for swift decision-making.

Predictive analytics

Utilize Snowflake’s machine-learning capabilities with real-time sensor data to build predictive models for pattern identification and trend analysis.

Historical trend analysis

Use Snowflake to store and analyze new and historical IoT data, allowing organizations to identify trends and patterns over time.

Data visualization

Create curated reports and dashboards, providing data visualization and empowering stakeholders to make informed decisions.

HiveMQ extensions

HiveMQ extensions are plugins that provide seamless integration with streaming services, databases, data warehouses, and security services. There is a Custom SDK to build tailored extensions for specific integration needs.

Scalability

Extensions usage scales along with the rest of the cluster and each enterprise extension is designed and tested for use in a cluster.

Availability

Extensions run on each cluster node, so if a node exits the cluster the extension will be present on the replacement node.

Manageability

No separate nodes to manage. Easily manage cluster-wide configuration in a Kubernetes cluster with the HiveMQ Operator.

HiveMQ and Snowflake resources

Top recommended resources to help you unlock the power of IoT with HiveMQ and Snowflake

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Get started with HiveMQ today

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