Connect context-rich OT data directly to the cloud
Cirrus Link’s IoT Bridges automatically structure and stream OT data from Ignition into platforms like Snowflake, AWS SiteWise, and Azure Digital Twins — without custom code or manual configuration.
Available IoT Bridges
IoT Bridge for Snowflake Securely stream real-time OT data into Snowflake — No code required
The IoT Bridge for Snowflake enables manufacturers to deliver contextualized, real-time tag data from Ignition into the Snowflake Data Cloud using the open MQTT Sparkplug standard — with zero programming and minimal configuration.
By subscribing to MQTT brokers, the bridge auto-discovers data models and assets, transforms them into Snowflake-compatible structures, and ingests them on a report-by-exception basis — minimizing storage requirements while maximizing value.
Key features:
Secure, open standards-based architecture
Utilizes MQTT Sparkplug (Eclipse Foundation) for a secure, open, and interoperable way to stream OT data into Snowflake.
Auto-discovery of assets and data models
Self-learning engine automatically builds data models in Snowflake using atomic Sparkplug payloads — no manual mapping or scripting required.
Efficient, event-driven data ingestion
Ingests only when values change (Report-by-Exception), reducing data volume and storage costs while increasing performance.
No code required
Delivers a plug-and-play experience with no programming — just configure the connection and go.
Rapid deployment & scalability
Designed to be up and running in minutes. Scales seamlessly from a single site to enterprise-wide digital transformation initiatives.
IoT Bridge for AWS Sitewise Auto-model and stream industrial data into AWS SiteWise
The IoT Bridge for SiteWise enables real-time, structured OT data from Ignition to flow directly into AWS IoT SiteWise using the MQTT Sparkplug standard. With no code and minimal configuration, Cirrus Link’s bridge auto-discovers asset models and hierarchies, and efficiently streams time-series data into SiteWise for use in dashboards, analytics, and machine learning.
Key features:
Self-configuring, no-code integration
- Auto-discovers assets
- Auto-creates asset models and properties
- Auto-defines asset hierarchies
- Pushes property values into the AWS SiteWise time-series database
Efficient and secure data movement
- Uses MQTT Sparkplug for report-by-exception delivery
- Minimizes bandwidth and storage requirements
- Compatible with AWS IoT Core and MQTT 3.1.1-compliant brokers
- TLS-secured communication for safe, enterprise-grade deployments
Deployable on Ignition or Ignition Edge
- Flexible for remote, edge, or plant-level installations
IoT Bridge for Azure Digital Twins / ADX Contextualize and analyze OT data in Azure
The IoT Bridge for Azure enables seamless, real-time integration of OT data from the Ignition platform into Azure Digital Twins (ADT) and Azure Data Explorer (ADX) using MQTT Sparkplug — with zero coding and minimal configuration.
Simply point and publish from Ignition to an MQTT server, and the IoT Bridge for Azure service automatically discovers data models, twin hierarchies, and properties, delivering them to Azure for powerful analytics, visualization, and machine learning.
Key features:
No-code, self-configuring integration
- Auto-discovers Azure Digital Twins
- Auto-creates Digital Twin models and templates
- Auto-defines hierarchy and parameter structure
- Pushes real-time tag values into ADX time-series database
Secure, efficient data delivery
- Based on the open MQTT Sparkplug standard
- Report-by-exception methodology reduces cloud storage and network overhead
- Supports TLS-secured communication
Quick deployment & broad compatibility
- Works with Ignition or Ignition Edge installations
- Simple configuration — no development effort required
- Supports full integration with Azure-based or third-party cloud analytics platforms
Get started today
Build smarter with fast, scalable, cloud-native OT data integration.