Litmus integrates directly with the leading platforms manufacturers already trust.
From Microsoft Azure and Databricks, to Snowflake, Google Cloud, AWS, and InfluxData, Litmus helps operationalize industrial data without building custom pipelines for every new initiative.
Our integrations are developed and validated alongside technology partners to ensure reliable deployment across industrial architectures.
Deploy industrial data pipelines into the platforms your business already depends on for AI, analytics, operations, reporting, and enterprise workflows.
AWS
Send structured industrial data to AWS for scalable analytics, AI, and event-driven workflows.
Microsoft Azure
Deliver contextualized OT data to Azure for enterprise analytics, reporting, and operational visibility.
Google cloud
Enable AI-ready data pipelines and advanced analytics using structured industrial data in Google Cloud.
Oracle Cloud
Connect industrial data to Oracle for enterprise operations, ERP workflows, and analytics.
Databricks
Deliver contextualized data to the lakehouse for AI, analytics, and data engineering.
Snowflake
Centralize and govern industrial data in Snowflake for analytics, reporting, and enterprise sharing.
InfluxData
Stream high-frequency telemetry to InfluxData for real-time monitoring and time-series analytics.
Message Brokers
Stream industrial data from the edge to your message broker
Deliver structured, cloud-ready data from the edge
Eliminate one-off integrations and custom pipelines
Support real-time and batch data flows
Scale integrations across sites and environments
Enable analytics, AI, and enterprise use cases on the same data foundation
standardized industrial data architecture
optimized packing and volume tracking
standardized industrial data architecture
Real-time monitoring and corrective action
Quick answers to your industrial data questions.
