Energy & Utilities

Modern energy networks demand reliability, efficiency, and renewable integration. InfluxDB delivers massive ingestion and real-time analytics to ensure safe operations, maximize efficiency, and reduce unplanned downtime.

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Time Series Database

Source: DB Engines

Capture every signal

From rigs and refineries to substations and smart meters, modern energy networks demand continuous, high-fidelity capture at scale. InfluxDB ingests millions of points per second with nanosecond precision, ensuring every fluctuation, fault, and forecast input is available for analysis.

Operators can query across billions of records to detect anomalies, balance supply and demand, and maintain grid stability where uptime and efficiency are critical.

InfluxDB 3 is built for energy and utility workloads

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Massive Ingestion Throughput

Ingest millions of unique series per second from sensors, IoT devices, and OT protocols (MQTT, Modbus, OPC-UA, and more) to monitor power quality, renewable integration, and load balancing.

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Real-Time Analytics

Query millions of series in <10ms to enable demand forecasting, automated fault response, and grid stabilization.

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Unified operational visibility

Bring together data across assets to give operators a single source of truth so they can track performance, spot anomalies, and act fast to prevent failures and outages.

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Predictive maintenance at scale

Anticipate failures before they happen. Analyze high-frequency telemetry to extend asset lifecycles, reduce downtime, and keep critical infrastructure online.

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Accelerate the energy transition

Support renewable integration, distributed energy resources, and smart grid modernization while reducing carbon footprint, enhancing safety, and enabling digital twins for more resilient infrastructure.

Trusted across the grid

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Energy and utilities require real-time, resilient systems

InfluxDB goes beyond storage and query—it gives energy and utility teams the infrastructure to act on their telemetry. Process data at the edge, retain massive volumes cost-effectively, and keep it accessible for real-time analysis. Identify grid instability early, predict equipment failures, optimize renewable integration, and act instantly across critical infrastructure, while ensuring reliability, efficiency, and resilience.

Slide 1

Predictive Maintenance
at Global Scale

Siemens Energy uses InfluxDB to monitor 23,000 battery modules across 70+ sites, analyzing billions of high-frequency sensor readings in real-time to ensure quality, prevent downtime, and keep production running anywhere in the world.

Read announcement
Slide 2

Real-Time Dashboards for Energy Optimization

Enprove, a provider of energy management and optimization solutions, uses InfluxDB to power real-time dashboards that track energy performance across factories, utilities, and facilities. By ingesting over 35,000 values per second, InfluxDB enables 6x faster queries and advanced analytics, giving Enprove’s customers the insights to optimize operations, improve efficiency, and reduce costs at scale.

Watch webinar
Slide 3

Cloud-Native Historian for the Energy Transition

Teréga, a gas storage and transportation company in southwest France, modernized its legacy data systems by building IO-Base, a cloud-native historian powered by InfluxDB and AWS. Ingesting over 100,000 real-time metrics from pipelines, sensors, and controls across its 5,000 km network, InfluxDB enables Teréga to ensure reliability, unlock innovation, and advance Europe’s energy transition.

Read case study
Slide 4

Precision at Offshore Depths

Seadrill runs a global fleet of drillships, semi-subs, and jack-ups where safety and uptime are critical. Its Plato analytics platform now streams tens of thousands of time series per second from rig SCADA systems to onshore teams. With InfluxDB Enterprise, Seadrill replaced legacy historians to deliver real-time visibility, unlock years of historical data in minutes, and shift to condition-based maintenance, cutting lifecycle costs by $55 million and boosting efficiency up to 30% on select rigs.

Read case study
Slide 4

Supporting distributed energy resources

Scottish Power Energy Networks (SPEN) replaced its legacy data historian with InfluxDB to handle the surge in data volume and high-cardinality metadata driven by distributed energy resources (DER) adoption. InfluxDB unifies analog telemetry and digital event data in a single platform, delivering real-time insights and fulfilling strict regulatory reporting requirements.

Watch webinar
Real-Time Dashboards for Energy Optimization +

Enprove, a provider of energy management and optimization solutions, uses InfluxDB to power real-time dashboards that track energy performance across factories, utilities, and facilities. By ingesting over 35,000 values per second, InfluxDB enables 6x faster queries and advanced analytics, giving Enprove’s customers the insights to optimize operations, improve efficiency, and reduce costs at scale.

Learn more Slide 1
Cloud-Native Historian for the Energy Transition +

Teréga, a gas storage and transportation company in southwest France, modernized its legacy data systems by building IO-Base, a cloud-native historian powered by InfluxDB and AWS. Ingesting over 100,000 real-time metrics from pipelines, sensors, and controls across its 5,000 km network, InfluxDB enables Teréga to ensure reliability, unlock innovation, and advance Europe’s energy transition.

Watch webinar Slide 2
Predictive Maintenance at Global Scale +

Siemens Energy uses InfluxDB to monitor 23,000 battery modules across 70+ sites, analyzing billions of high-frequency sensor readings in real-time to ensure quality, prevent downtime, and keep production running anywhere in the world.

Read case study Slide 3
Precision at Offshore Depths +

Seadrill runs a global fleet of drillships, semi-subs, and jack-ups where safety and uptime are critical. Its Plato analytics platform now streams tens of thousands of time series per second from rig SCADA systems to onshore teams. With InfluxDB Enterprise, Seadrill replaced legacy historians to deliver real-time visibility, unlock years of historical data in minutes, and shift to condition-based maintenance, cutting lifecycle costs by $55 million and boosting efficiency up to 30% on select rigs.

Read case study Slide 4
Supporting distributed energy resources +

Scottish Power Energy Networks (SPEN) replaced its legacy data historian with InfluxDB to handle the surge in data volume and high-cardinality metadata driven by distributed energy resources (DER) adoption. InfluxDB unifies analog telemetry and digital event data in a single platform, delivering real-time insights and fulfilling strict regulatory reporting requirements.

Watch webinar Slide 5

Telemetry that connects every grid

InfluxDB goes beyond storage and query—it gives energy and utility teams the infrastructure to act on their telemetry. Process data at the edge, retain massive volumes cost-effectively, and keep it accessible for real-time analysis. Identify grid instability early, predict equipment failures, optimize renewable integration, and act instantly across critical infrastructure, while ensuring reliability, efficiency, and resilience.

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Deploy anywhere

Whether you’re building on-prem, private cloud, edge, or multi-tenant cloud, InfluxDB meets developers where they are.