InfluxDB for InfluxDB for Energy and Utilities
Discover how energy, gas, and utility organizations use InfluxDB to collect sensor metrics and gain real-time insights into turbines, meters, refineries, pipelines, and other industrial equipment.
#1
Time Series Database
Source: DB Engines
1B+
Downloads of InfluxDB
Take the complexity out of time series data management
Try InfluxDBTurn high-volume, high-velocity, high-resolution time series data into actionable intelligence without sacrificing performance.
Get high-speed ingestion, real-time querying, and seamless scalability in a highly performant time series database that can handle unlimited volumes of time series data, even as data complexity and cardinality increases.
Run InfluxDB at scale in any environment in the cloud, on-premises, or at the edge. InfluxDB consists of the core database and storage engine, an API, and an ecosystem of tools and integrations to manage time-stamped data. Easily integrate with 5K+ prebuilt connections using Telegraf, our open source agent with 5B+ downloads.
Run InfluxDB 3 where you need it
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Deploy anywhere: on-prem, private cloud, edge, or multi-tenant cloud.
Secure, dedicated cloud infrastructure
Run a Proof of ConceptFor scaled workloads
Fully-managed, single-tenant service with unlimited scale, high availability, secure private connections, and enhanced Support.
Own your data with enterprise features
Run a Proof of ConceptFor scaled workloads
Control your infrastructure with unlimited scale, high availability, enterprise-grade security, and enhanced Support. On-prem, private cloud, and edge deployment.
Why InfluxDB
Limitless data collection
Ingest and analyze millions of time series data points per second without limits or caps.
Predict and prevent
Maximize uptime and prevent costly failures with real-time monitoring and preventative insights.
Real-time query
Data is immediately available for querying in InfluxDB, enabling real-time SQL queries and lightning-fast responses.
Energy and Utilities
Learn how leading energy and utility organizations use InfluxDB to gain visibility from sensors on mission-critical meters, wind turbines, buildings, solar panels, gas/oil pipelines, and other industrial equipment. A solution that can handle the vast amounts of real-time data generated by these edge devices and leverages tiered storage to provide access to historical data allows organizations to create more accurate predictive models using time series data.
This enables organizations to fine-tune energy production and storage practices and develop predictive maintenance strategies that improve performance and save money.
Why use InfluxDB for Energy and Utilities?
Built for developers, InfluxDB is central to many industrial-grade solutions in the energy and utility sector, providing high-volume data ingestion, high-ratio compression, and low-latency data queries. As the energy industry continues to modernize, organizations face pressure to reduce operational costs and improve security and sustainability practices. The increased adoption of renewable energy sources, coupled with socio-economic changes, leaves energy and utility companies looking to modernize their infrastructure.
There is a need to shift key operations to the cloud and configure these systems to access and analyze all their edge data, regardless of its source (e.g., smart meters, solar panels, pipelines, refineries, etc.).
Stakeholders at the edge also need to ensure that they process and analyze data generated there for use at the edge and, reliably replicate that data to the cloud for centralized aggregations and analysis.
No matter what systems or protocols energy and utility organizations rely on, InfluxDB has the tools to efficiently collect, store, process, and analyze sensor data (e.g., MQTT, Modbus, OPC-UA, etc.).
Improved operational insights
- Use sensor data to gain ecosystem-wide insights
- Reduce corporate carbon footprint and improve sustainability practices
- Enhance safety across all sites (refineries, oil rigs/drills, and power plants)
Increase profitability
- Eliminate organizational data silos to increase output
- Enable predictive maintenance, reducing machine downtime
- Improve plant output by increasing overall equipment effectiveness (OEE)
Modernize the industry
- Replace legacy historians for Industry 4.0 compatibility
- Create digital twins to guard against cyber attacks and improve system reliability
- Ingest high-volume sensor metrics in real-time and at scale
Why InfluxDB
Built for developers, InfluxDB is central to many industrial solutions, providing high-throughput ingestion, compression, and real-time querying of sensor data. Stakeholders across energy and utility organizations use InfluxDB to collect sensor data to improve day-to-day operations and increase output while reducing costs and helping modernize the sector. Use InfluxDB to integrate and monitor all your IIoT/OT data in a central platform.
“I don’t want to be worried about building my own time series database. I don’t want to even be worried about managing my own time series database… By using InfluxDB Cloud, we’ve got that whole responsibility lifted off our shoulders.”
Mike DonovanVP of Products, Aquicore
Open data standards drive performance and interoperability
InfluxDB 3 is built in Rust and the FDAP stack—Flight, DataFusion, Arrow, and Parquet—leveraging Apache-backed technologies to efficiently ingest, store, and analyze time series data at any scale.
Get InfluxDBF
Flight for efficient columnar data transfer

D
DataFusion for high-performance querying
A
Arrow for optimized in-memory columnar analytics

P
Parquet for high-compression storage
InfluxDB’s columnar database supports time series data at a lower TCO
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