Cloud

Snowflake joins Inductive Automation Alliance Partner Program

Sept. 25, 2023
Travis Cox expects innovations to come from storing industrial data in a SQL database with context

Snowflake Data Cloud joined the Inductive Automation Alliance Partner Program as an alliance partner. This program showcases technology companies that provide products and services that complement the Ignition software platform for joint customers. As an alliance partner, Snowflake will work with Inductive Automation to help more companies discover the benefits of using Ignition and the Snowflake Data Cloud.

Ignition was designed to leverage databases and make it easy for users to connect to any database so they can store and query industrial and enterprise data. Ignition unlocked SQL databases for industrial applications and now integrates with Snowflake’s single, integrated platform.

The Snowflake Manufacturing Data Cloud is a managed, cloud-based data platform. It uses a multi-cluster shared data architecture to eliminate data silos and let manufacturers scale their data easily by leveraging the resources of the cloud to build a data foundation, improve supply chain performance and power smart-manufacturing initiatives.

With Snowflake, Ignition users can use elastic data storage offered by the cloud and leverage SQL, Python, Java and Scala databases. Snowflake is a complement to on-premise Ignition systems. Industrial data can be published using MQTT Sparkplug, and that data is stored automatically, along with its context, in the Snowflake Manufacturing Data Cloud using Cirrus Link's new IoT Bridge for Snowflake, no coding required. Once the data is in the cloud, users can query it back into Ignition through Snowflake’s JDBC driver to use the data to generate reports, perform advanced analytics and build and deploy applications.

"The amount of industrial data organizations have to manage is increasing,” said Travis Cox, Inductive Automation’s chief technology evangelist. “Together, Ignition and Snowflake truly allow manufacturing and industrial organizations to scale and use data more effectively. I am excited to see the innovations that come out of storing industrial data in a SQL database with context."