From the creators of TimescaleDB
Postgres for real-time oilfield services
Monitoring, drilling, and emissions applications run on live telemetry. Tiger Data keeps readings fast and correct next to work orders, tickets, and equipment records, in one Postgres.
When operational data outgrows your system
You compete on your software now, not just your equipment. Go dark for five minutes and you lose the contract, not your database vendor. Tiger Data runs your telemetry from day one and scales as the fleet grows.
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
Split architectures drift: dual writes put work orders and billing at risk
Built for production oilfield systems
High ingest. Long retention. Reliable uptime.
Ingest high-frequency telemetry from wells, pipelines, and processing systems
Join telemetry with equipment, jobs, wells, and customers
High availability for critical infrastructure
No new query language and no pipeline overhead
90%+ compression for multi-year retention
Continuous aggregates for dashboards and reporting
ACID transactions for work orders, tickets, and billing
// use case
Common oilfield services 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 Enterprise
Use Enterprise at remote sites, on-premises, or where connectivity is limited.
TimescaleDB
Use TimescaleDB when you want open-source control.