InfluxData is forming a strategic partnership with Litmus to address one of the most persistent challenges in industrial data: getting reliable, contextualized telemetry from the shop floor into production systems. The announcement was made at Hannover Messe.
Litmus bridges the gap between OT systems and modern IT infrastructure, while InfluxDB serves as the industrial data hub, giving organizations both real-time operational visibility and enterprise-scale historical analysis in a unified architecture, according to the companies.
By integrating Litmus Edge with InfluxDB 3 Enterprise, teams can collect and contextualize data at the source, then write it into a time series engine built for high-resolution data.
Litmus handles connectivity and data normalization at the edge. InfluxDB provides high-throughput ingestion, real-time querying, and cost-efficient long-term storage, deployable at the edge, in the enterprise layer, or both, the companies said.
The result is a system that captures every signal, retains its context, and makes it immediately usable.
At the site level, InfluxDB runs locally alongside Litmus Edge, ingesting full-resolution telemetry and serving low-latency queries for real-time operations. It operates autonomously, so if connectivity to the central hub is interrupted, data is buffered locally and automatically forwarded when the connection is restored. There’s no data loss or manual intervention.
At the enterprise level, a centralized InfluxDB cluster aggregates data from every site into a single query layer across assets, plants, and time horizons. This creates a consistent, high-resolution data layer that can be used across operations, analytics, and industrial AI.
With high-resolution, contextualized data available across systems, teams can move beyond basic monitoring. Predictive maintenance, anomaly detection, and cross-site analytics all depend on full-fidelity data. Industrial AI at the edge depends on low-latency access to it. Without that foundation, these systems don’t operate reliably. That’s what this architecture enables, the companies said.
For more information about this news, visit www.influxdata.com.