---
title: "Postgres for Energy & Utilities"
description: "Managed PostgreSQL built for high-ingest, long-retention telemetry across EV charging, battery storage, renewable assets, and grid platforms. Start a free trial."
url: "https://www.tigerdata.com/energy-utilities"
---


# Postgres for Energy & Utilities

Tiger Cloud is a managed PostgreSQL time-series database built for high-ingest, long-retention telemetry across EV charging networks, battery storage fleets, renewable assets, and grid platforms.

## When energy telemetry outgrows your database

Readings multiply as your fleet grows. Dashboards slow, costs climb, and retention stretches to years for compliance. The usual fix, a second system for telemetry, leaves you syncing two databases that can disagree.

> **Tiger Cloud** is built for operational telemetry from day one.

- **InfluxDB** struggles as queries and joins get more complex
- **MongoDB** is not built for high-ingest time-series workloads
- **Vanilla Postgres** requires custom rollups and constant tuning
- **Pipeline architectures** add latency and operational overhead

## Built for 24/7 energy systems.

High-ingest time-ordered telemetry from chargers, meters, and storage systems.

- High ingest. Long retention. Predictable cost.
- 90%+ compression for cost-effective multi-year retention
- Automatic time-based partitioning for fast fleet and portfolio queries
- Join live readings with sites, customers, devices, and tariffs
- High availability for operational systems
- Full PostgreSQL compatibility
- No new query language. No pipeline sprawl
- Ingest millions of time-ordered readings from chargers, meters, and grid assets

## Common energy use cases

Tiger Cloud powers operational telemetry across electrified infrastructure:

01. EV charging fleet telemetry and charger analytics
02. Battery storage monitoring and grid-scale energy systems
03. Renewable asset monitoring for solar and wind fleets
04. Grid software and DERMS platforms
05. Energy trading built on operational asset data
06. Emissions monitoring and regulatory reporting

## Customer Results

> Hypercore has been a big win for us, excellent performance.

— **Enrique Riesgo**, Chief Software Engineer at Plexigrid ([Read more](https://www.tigerdata.com/blog/from-4-databases-to-1-how-plexigrid-replaced-influxdb-got-350x-faster-queries-tiger-data))

_350x faster queries_

- **100M** Data points per machine ([Read more](/case-studies/newtrax))

- **50%** Cost savings ([Read more](https://www.tigerdata.com/blog/how-evergen-uses-tigerdata-to-scale-its-renewable-energy-monitoring-architecture))

- **93%** Compression rate ([Read more](/case-studies/eggersmann-gruppe))

- **150M** Time-series rows daily ([Read more](/case-studies/axpo))

> Data reliability went from about 95% to well above 99%

— **Danny Burrows**, VP of Software Engineering, Flogistix by Flowco. ([Read more](https://www.tigerdata.com/blog/how-flogistix-by-flowco-reduced-infrastructure-management-costs-by-66-with-tiger-data))

_66% cost savings_

## Frequently Asked Questions

### Is PostgreSQL good for energy telemetry?

Yes. PostgreSQL supports SQL, joins, and a mature ecosystem, which matters when readings need to connect to sites, customers, and tariffs. Tiger Cloud extends PostgreSQL with time-series performance and long-term retention.

### What makes Tiger Cloud different from standard PostgreSQL?

Tiger Cloud is PostgreSQL optimized for telemetry. It is built for high ingest, compression, fast rollups, and production dashboards at scale.

### Why not use InfluxDB for energy IoT?

InfluxDB works well for basic metrics, but many teams hit limits when they need SQL joins, richer analytics, and long retention. Tiger Cloud keeps PostgreSQL while scaling for production telemetry.

### Can Tiger Cloud handle EV charging telemetry?

Yes. Tiger Cloud is built for write-heavy workloads like EV charging telemetry and fleet dashboards, with fast ingest and compression.

### Does Tiger Cloud support smart grid monitoring and DERMS workloads?

Yes. Tiger Cloud supports grid monitoring and DERMS workloads where uptime, retention, and query speed matter.

### How long can we retain telemetry data?

Years. Tiger Cloud is designed for long retention without losing query performance, using compression and time-series optimizations.

### Can we deploy on-prem or at the edge?

Tiger Cloud is the managed cloud service. For on-prem, edge, or private cloud with enterprise-grade operations, see TimescaleDB Enterprise. For self-hosted open source, use TimescaleDB. Many teams run hybrid deployments.

## Deploy anywhere with Postgres

Run in the cloud, on-prem, or at the edge using just Postgres.

### Tiger Cloud

Use Tiger Cloud when you want managed infrastructure. [Learn more](https://www.tigerdata.com/cloud)

### TimescaleDB Enterprise

Use Enterprise when you run at the site, at the edge, or on-premises. [Learn more](https://www.tigerdata.com/timescaledb-enterprise)

### TimescaleDB

Use TimescaleDB when you want open-source control. [Learn more](https://www.tigerdata.com/timescaledb)