Battery Data at Scale:
Purpose-Built Data Store for EMS

Handle high-frequency telemetry data, edge–cloud synchronization, and lightweight deployments with a time-series database.

Top 5 Data Challenges for Battery Storage Systems

Battery energy storage systems (BESS), managed by EMS software platforms, generate massive amounts of high-frequency data. But most telemetry stacks weren’t built to handle:

  • Millions of points per second from sensors and inverters
  • Real-time analytics and dashboards under load
  • Data loss and complexity caused by fragile edge–cloud sync
  • Storage bloat and query lag in general-purpose databases

TDengine is a purpose-built time-series database that simplifies the complexity of energy telemetry pipelines from edge to cloud.

Evaluate TDengine with EMS Telemetry Data

Need to see it to believe it? We’ve open-sourced a complete EMS data simulator with MQTT ingestion, edge–cloud architecture, and Docker-based deployment:

  • Spin up a test environment in under a minute, including an MQTT data generator, MQTT broker, TDengine nodes, and Grafana visualizations
  • Explore the environment and see how easy it is to use TDengine to store and process EMS data
  • Change settings or nodes as you like — if you break it, just spin up a new one
  • Run in Docker on your local machine — no cloud costs
Try it out

Battery Storage Workshop: Database Performance Testing

Join this hands-on workshop and see how TDengine handles high-throughput battery telemetry data in real time. Follow along with live benchmarks and test it yourself using our public GitHub repo.

  • Live performance demo demonstrating query latency for large-scale ingestion
  • Simulate a real EMS environment with dozens of battery units streaming telemetry data
  • Run real-time queries to calculate KPIs like online rate and unit availability
  • No prior experience required — just copy, run, and explore
Register today

Battery Storage Webinar: Can Your Database Handle Battery Telemetry at Scale?

Managing high-frequency telemetry from EMS (Energy Management Systems) and BESS (Battery Energy Storage Systems) shouldn’t be a bottleneck. Join us for a deep dive into how TDengine helps leading energy storage operators overcome the toughest challenges in data ingestion, long-term storage, and real-time analytics — all while reducing costs.

  • The top 5 data challenges in BESS operation & maintenance
  • Key metrics to evaluate time-series database performance
  • Real-world examples from battery storage system deployments
  • A live demo showing 400,000 data points per second — with real-time queries, dashboards, and edge-cloud sync

Request a Demo

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