InfluxData , the developer of the leading time-series database InfluxDB, announced a strategic partnership with Litmus, a leading provider of industrial edge data platforms, at Hannover Messe 2026. As part of this partnership , InfluxData’s high-performance database InfluxDB 3 Enterprise will be integrated with Litmus Edge, providing industrial companies with a scalable foundation for capturing, processing, and analyzing high-resolution data at any location, in any system, and from any sensor.
Time-series data forms the basis of industrial intelligence by capturing changes, the timing of those changes, and the correlations between signals. As industrial systems generate data with increasing speed and resolution, traditional historical systems struggle to keep pace. This limits scalability, reduces context, and forces trade-offs between data accuracy, retention time, and cost. These challenges are compounded by fragmented systems that create data silos and impair the ability to analyze signals across locations and departments.
By integrating InfluxDB 3 Enterprise with Litmus Edge, organizations can overcome these obstacles with a unified architecture spanning edge, on-premises, and cloud deployments. Litmus Edge provides native connectivity and data normalization for industrial systems, while InfluxDB 3 Enterprise ensures efficient ingestion, real-time analytics, and cost-effective storage of high-frequency time series data across edge instances. Combined, they empower teams to capture all metrics at full resolution, leverage contextual information across assets and systems, and act on data instantly. This enables predictive maintenance, anomaly detection, and real-time industrial AI at the edge-where milliseconds matter for performance and availability.
Also Read: Kleene.ai Launches KAI Assistant, A Native AI Interface for Its Data and Analytics Platform
“Industrial systems are used in the real world. Timing is critical there, and performance degradation has concrete consequences,” explains Evan Kaplan, CEO of InfluxData. “Most of these systems weren’t designed to process high-resolution data or react to it instantly. Integrating InfluxDB 3 Enterprise with Litmus Edge removes these limitations, allowing teams to work directly at the data source in real time-with the precision needed to run AI in physical systems.”
“Our customers are moving from simple dashboards to industrial AI based on high-frequency data,” reports Vatsal Shah, co-founder and CEO of Litmus. “By integrating InfluxDB 3 Enterprise with Litmus Edge, we are laying the foundation for ultra-high-resolution data, enabling the deployment of AI agents at the edge. This allows industrial companies not only to detect problems in real time but also to deploy autonomous systems that optimize performance and manage complex processes with zero latency.”
A unified edge-to-cloud architecture
This integration creates a scalable architecture that bridges the gap between operational technology (OT) and IT via a hub-and-spoke model. Litmus Edge links and contextualizes data directly at the source and offers native connectivity to over 250 pre-built industrial interfaces (PLCs, robot systems, and legacy devices), eliminating the need for custom integration. InfluxDB 3 Enterprise then stores and analyzes this telemetry data locally and continuously replicates it to a central hub for long-term storage and fleet-wide visibility.
This approach extends traditional industrial data history workloads with a scalable, modern architecture for high-resolution telemetry data. It ensures long-term retention by storing compressed data in object storage – regardless of the deployment model – and makes the data independent of proprietary systems.
SOURCE: Businesswire