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.
Retention stretches from weeks to years for compliance and reporting. Fleet dashboards slow down. Infrastructure costs rise. Engineering teams get stuck rebuilding the data layer instead of shipping product.
Tiger Cloud is built for operational telemetry from day one.
Common breaking points
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
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
Fast SQL across real-time and historical asset data
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
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Tiger Cloud powers operational telemetry across electrified infrastructure:
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Run in the cloud, on-prem, or at the edge using just Postgres.
Use Tiger Cloud when you want managed infrastructure.
Use TimescaleDB when you want open-source control.