Battery Energy Storage Systems

InfluxDB supports reliable site operations, fleet-wide dispatch, and historical analysis by unifying high-frequency telemetry from storage systems, power electronics, and plant applications.

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Time Series Database

Source: DB Engines

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Capture every signal

Grid-scale batteries and virtual power plants generate continuous, high-frequency telemetry across thousands of assets. InfluxDB is built to ingest and retain this data reliably, without lag or forced downsampling.

From individual assets to entire fleets, InfluxDB preserves high-resolution telemetry so operators and analysts always have a consistent, complete view.

InfluxDB 3 is built for BESS workloads

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Massive ingestion throughput

Ingest millions of points per second from battery cells, racks, inverters, meters, and grid interfaces without write bottlenecks or index tuning.

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Handles millions of unique streams

Track every site, rack, module, cell, inverter, and market signal with clear tagging, without performance penalties as scale grows.

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Real-time query performance

Query fresh telemetry in milliseconds to support live dispatch decisions, alarms, and operator dashboards.

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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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Optimize revenue in real-time

InfluxDB delivers sub-second visibility into system state so operators and algorithms can respond instantly to price signals, grid conditions, and dispatch instructions.

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Cost-efficient long-term retention

Store years of full-resolution telemetry in object storage with high-ratio compression—no forced downsampling that breaks analytics and ML.

Trusted across the grid

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BESS operators require real-time, resilient systems

InfluxDB provides the data infrastructure operations teams need to capture and act on telemetry in real time at both individual sites and across the fleet. Because this telemetry is captured at full resolution, it becomes the foundation for AI/ML-driven analysis, including equipment health assessment, predictive maintenance, and other long-horizon models.

Slide 1

Standardizing predictive maintenance at a 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 Monitoring for Smarter Energy Storage

ju:niz Energy builds large-scale battery storage systems and intelligent energy management solutions. It streams thousands of sensor data points every second, tracking battery health, temperature, and more, to power real-time monitoring, predictive maintenance, improved sustainability, and support the adoption of renewable energy.

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Slide 3

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 the adoption of distributed energy resources (DERs). 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 4

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
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 instantly to ensure quality, prevent downtime, and keep production running anywhere in the world.

Read announcement Slide 3
Standardizing predictive maintenance at a 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 1
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 the adoption of distributed energy resources (DERs). 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 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 4

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.

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The leading time series database that delivers real-time high-performance at any scale.