InfluxData, creators of the cutting-edge time series database InfluxDB, announced at Hannover Messe 2026 a strategic partnership with Litmus, a leading provider of industrial edge data platforms. The partnership integrates InfluxData’s high-performance database, InfluxDB 3 Enterprise, with Litmus Edge, providing industry organizations with a scalable foundation to collect, process, and analyze high-resolution data across any site, system, or sensor.
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Time series data is the foundation of industrial intelligence, capturing what changes, when it changes, and how signals are correlated. As industrial systems produce data at faster speeds and higher resolutions, traditional historians are struggling to keep up, limiting scale, reducing context, and forcing trade-offs between data fidelity, retention, and cost. These challenges are further exacerbated by fragmented systems that create data silos and limit the ability to analyze signals across sites and operations.
By integrating InfluxDB 3 Enterprise with Litmus Edge, organizations can overcome these limitations with a unified architecture that spans edge, on-premises, and cloud deployments. Litmus Edge provides native connectivity and data normalization across industrial systems, and InfluxDB 3 Enterprise provides high-performance ingestion, real-time analytics, and cost-effective storage of high-frequency time series across edge instances. Together, they enable teams to capture every measurement at full resolution, apply context across assets and systems, and take immediate action on data, powering predictive maintenance, anomaly detection, and real-time industrial AI at the edge to determine performance and uptime in milliseconds.
Evan Kaplan, CEO of InfluxData, said: “Industrial systems operate in the physical world, where timing is critical, and any performance degradation has significant consequences.” “Most systems are not designed to process high-resolution data or operate in situ. Integrating InfluxDB 3 Enterprise with Litmus Edge removes these constraints and enables teams to directly manipulate data at the source in real-time with the precision needed to power physical AI.”
Vatsal Shah, co-founder and CEO of Litmus, said: “Our customers are moving beyond simple dashboards to high-frequency industrial AI.” “By integrating InfluxDB 3 Enterprise with Litmus Edge, we provide the ultra-high-resolution data foundation needed to power AI agents at the edge. This enables industrial companies to deploy autonomous systems that not only detect issues in real-time, but also optimize performance and manage complex operations without delay.”
Unified edge-to-cloud architecture
This integration creates a scalable architecture that bridges the gap between operational technology (OT) and IT through a hub-and-spoke model. Litmus Edge connects and contextualizes data at the source with native connectivity to over 250 pre-built industrial connectors (PLCs, robotic systems, legacy equipment), eliminating the need for custom integrations. InfluxDB 3 Enterprise stores and analyzes that telemetry locally and continuously replicates it to a central hub for long-term storage and fleet-wide visibility.
This approach extends traditional industrial historian workloads using a scalable modern architecture for high-resolution telemetry. This enables long-term retention using compressed data in object storage across any deployment model, freeing data from proprietary systems.
Built for industrial AI at scale
Litmus Edge and InfluxDB 3 Enterprise combine to bring high-performance, scalable data processing to industrial systems. The main features are:
- Ingest data at scale: Ingest and analyze high-frequency data in milliseconds to detect issues and take immediate action.
- Eliminate data silos. Integrate edge and cloud data into a unified industrial platform for complete visibility across systems, sites, and operations.
- Context-rich data modeling: Capture and analyze millions of signals across assets, systems, and environments with the context you need for deeper analysis without sacrificing performance.
- Industrial connectivity and reliable data flow: Bridge the industrial connectivity gap with over 250 native OT connectors, enabling seamless edge-to-hub data flow with reliable store-and-forward, even in constrained environments.
- Efficient long-term storage: It uses advanced compression and object storage to maintain significantly higher resolution data than traditional historians.
InfluxDB 3 Enterprise is currently available for Litmus Edge deployment and cloud deployment is supported via Amazon Timestream for InfluxDB. InfluxDB is a fully managed service on AWS that eliminates infrastructure overhead and simplifies running InfluxDB at scale.
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