Pass input parameters from incoming messages and retrieve both result sets and output parameters, making it easy to integrate with existing SQL Server logic.

Store industrial files securely. Upload single or multiple files, or write text/binary directly with flexible paths, naming, and cleanup.

Simplify AWS S3 uploads: handle multiple file formats, keep data organized, and generate flexible S3 keys for consistent, structured storage.

Upload structured and unstructured data to Azure Data Lake - across formats - with one consistent, flexible interface.

The Array Statistics module calculates key statistics from an array in each incoming message, enabling quick, code-free analytics at the edge.

Resolve situations where the flows become out of sync with the Crosser Control Center or behave unexpectedly.

Detect when no data is arriving from a subscribed source, and trigger a notification if updates stop within a defined time window.

Build reliable pipelines with Snowflake streaming + batch modules and direct query support.

Use a flow template to reduce data from multiple machine sources, applying different techniques.

The Data Trigger module can automatically label incoming messages as good or bad quality by evaluating them against defined trigger conditions within your flow.