en.Wedoany.com Reported - April 20, 2026, Hannover, Germany – At the Hannover Messe, InfluxData announced a strategic partnership with industrial edge data platform provider Litmus. The two companies will integrate InfluxData's InfluxDB 3 Enterprise database with the Litmus Edge platform, providing industrial enterprises with scalable infrastructure for collecting, processing, and analyzing high-resolution data across sites, systems, and sensors.
Time-series data is key to industrial intelligence, recording changes and signal correlations. As the speed and resolution of data generated by industrial systems increase, traditional historical databases face challenges, leading to scale limitations, reduced context, and the need to trade off between data fidelity, retention, and cost. Fragmented systems exacerbate data silo issues, limiting cross-site analysis capabilities.
By integrating InfluxDB 3 Enterprise with Litmus Edge, organizations can address these limitations through 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 supports high-performance data ingestion, real-time analysis, and cost-effective storage. Combined, teams can capture measurements at full resolution, apply context across assets, and act in real-time, supporting predictive maintenance, anomaly detection, and industrial AI at the edge.
Evan Kaplan, CEO of InfluxData, said: "Industrial systems operate in the physical world, where timing is critical and performance degradation has real-world consequences. Most systems weren't designed to handle high-resolution data or operate in-place. Integrating InfluxDB 3 Enterprise with Litmus Edge removes these constraints, allowing teams to operate on source data in real-time with the precision required for physical AI."
Vatsal Shah, Co-founder and CEO of Litmus, said: "Customers are moving from simple dashboards to high-frequency industrial AI. Integrating InfluxDB 3 Enterprise with Litmus Edge provides the high-resolution data foundation needed for edge AI agents, enabling enterprises to detect issues in real-time and deploy autonomous systems that optimize performance and manage complex operations."
The integration adopts a hub-and-spoke model, bridging the gap between operational technology (OT) and IT. Litmus Edge connects and contextualizes data at the source, featuring over 250 pre-built industrial connectors, eliminating the need for custom integration. InfluxDB 3 Enterprise stores and analyzes telemetry data locally and replicates it to a centralized hub, enabling long-term storage and full-fleet visibility. It extends the workloads of traditional historical databases, supporting long-term retention using compressed data in object storage, and liberating data from proprietary systems.
Key capabilities include large-scale data ingestion, elimination of data silos, context-rich data modeling, industrial connectivity and reliable data streaming, and efficient long-term storage. InfluxDB 3 Enterprise is now available for Litmus Edge deployments, with cloud deployment supported via Amazon Timestream for InfluxDB, simplifying large-scale operations.
Litmus and InfluxData will showcase this integration at the Hannover Messe from April 20 to 24, demonstrating how real-time, high-resolution data enables industrial AI. Related information can be obtained by visiting their booths or websites.
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