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.
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.
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
Tiger Cloud is built for production telemetry from day one, without relying on pipelines between databases.
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
Tiger Cloud supports telemetry across the oil & gas supply chain:
01
Well production monitoring and optimization
02
Drilling and offshore telemetry systems
03
Pipeline monitoring and integrity analytics
04
Refining and processing system telemetry
05
Equipment performance and asset health monitoring
06
Methane and emissions monitoring for compliance
Start with TimescaleDB. Scale with Tiger Cloud.
Run in the cloud, on-prem, or at the edge using just Postgres.