LITMUS + Influxdata INTEGRATION

High-Resolution Industrial Data to InfluxData

Capture high-frequency industrial data at the edge and deliver trusted time-series data into InfluxDB for real-time monitoring and alerts.

Trusted by manufacturers scaling industrial data and AI

How Litmus integrates with Influxdata

InfluxDB is built for high-volume, time-series data but only when data is structured and consistent. Litmus prepares plant-floor data at the edge and delivers clean, contextualized time-series data for monitoring and analytics.

What you get with Litmus + Influxdata

Everything you need to turn plant floor data into trusted, Influxdata-ready data for operational intelligence.

Connect industrial assets for time-series data

Connect plant-floor systems and prepare operational data for InfluxDB-based monitoring, analytics, and AI.

Connect PLCs, SCADA, historians, sensors, CNCs, MES, and production systems
Use 250+ native drivers to reduce custom integration
Consistent time-series data foundation for InfluxDB

Clean, contextualized data at the edge

Turn raw machine signals into structured operational data before sending it to InfluxDB.

Normalize tags, units, timestamps, and data types
Add asset, line, machine, work center, and process context
Prepare high-resolution data for dashboards, alerts, and analytics

Litmus Edge with InfluxDB 3 Enterprise

Store and analyze high-frequency industrial data close to operations while supporting scalable enterprise use cases.

Run InfluxDB alongside Litmus Edge for local storage and analysis
Capture high-frequency machine and sensor data
Enable real-time monitoring and alerting close to operations

Flexible ingestion and pipeline patterns

Send custom schemas from Litmus Edge into InfluxDB using REST API-based integration patterns.

Send data via REST APIs into InfluxDB v1 and v2
Use custom schemas for plant, asset, tag, and process-specifica data structures
Support store-and-forward behaviour from edge environments

Manufacturing use cases

Predictive maintenance

Use high-resolution equipment data to detect early warning signals and reduce downtime.

Real-time equipment monitoring

Track machine status, alarms, and sensor data across production lines.

OEE and production performance

Standardize production data for InfluxDB dashboards and analytics.

Process optimization

Analyze time-series process data to improve throughput and reduce variation.

Anomaly detection and alerting

Detect abnormal behavior using time-series trends, thresholds, and alerts.

See how Litmus fits your InfluxData architecture
Explore how industrial data flows from your machines into InfluxDB.