Oil & Gas
Built for Oil & Gas Operations
Production, pipeline, and processing systems generate continuous data across the supply chain. Tiger Cloud is a managed TimescaleDB cloud service, built on Postgres for high-ingest, long-retention oil & gas telemetry.
When operational data outgrows your system
What works in early deployments breaks at scale. As asset counts grow and retention stretches into years, systems slow down, costs rise, and teams start rebuilding the data layer.
Tiger Cloud is built for production telemetry from day one, without relying on pipelines between databases.
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
Built for production oil & gas systems
High ingest. Long retention. Reliable uptime.
Ingest high-frequency telemetry from wells, pipelines, and processing systems
90%+ compression for multi-year retention
Fast SQL queries across months or years of operational data
Continuous aggregates for dashboards and reporting
High availability for mission-critical infrastructure
Built on Postgres and TimescaleDB
No new query language and no pipeline overhead
// use case
Common oil & gas use cases
// case studies
Customer Results
Frequently Asked Questions
Deploy anywhere with Postgres
Run in the cloud, on-prem, or at the edge using the Postgres ecosystem your team already knows.
Tiger Cloud
Use Tiger Cloud when you want managed infrastructure.
TimescaleDB
Use TimescaleDB when you want open-source control.