--- title: "Postgres for Oilfield services" description: "Managed PostgreSQL built for high-ingest, long-retention oilfield services telemetry across production, pipeline, and processing systems. Start a free trial." url: "https://www.tigerdata.com/oilfield-services" --- # 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. - **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  ## Common oilfield services use cases 01. Production monitoring services 02. Drilling and workover telemetry 03. Artificial lift optimization 04. Emissions detection and reporting 05. Equipment health and predictive maintenance 06. Field ticketing and dispatch on live data ## Customer Results > TimescaleDB is absolutely critical to our operations. — **Chris Morris**, SCADA Manager, Waterbridge ([Read more](https://www.tigerdata.com/blog/how-waterbridge-uses-timescaledb-for-real-time-data-consistency)) _Up to 10k data points per second_ > [object Object] — **Emanuel Joos**, Lead Software Engineer, Axpo ([Read more](/case-studies/axpo)) _150m rows daily_ > 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 Postgres a good fit for oilfield telemetry? Yes. Postgres supports SQL, joins, and a mature ecosystem, which matters when readings need to connect to equipment, jobs, and work orders. Tiger Data extends Postgres with time-series performance, compression, and long-term retention. ### Does Tiger Data replace our SCADA system or historian? ### What makes Tiger Cloud different from standard Postgres? Tiger Cloud (managed TimescaleDB service) is Postgres optimized for high-ingest telemetry. It supports compression, fast aggregations, and reliable performance at scale. ### What is the relationship between Tiger Cloud and TimescaleDB? Tiger Cloud is the managed cloud service built on TimescaleDB, the open-source Postgres extension for time-series workloads. It adds automation, scaling, and operational reliability for production systems. ### Why not use InfluxDB for oilfield telemetry? InfluxDB works for basic metrics, but many teams outgrow it when they need SQL joins, complex analytics, and long retention. Tiger Cloud keeps Postgres while scaling for production systems. ### Can Tiger Cloud handle pipeline and refinery data? Yes. Pipeline and processing systems produce high-frequency readings across production monitoring, emissions detection, and equipment health, and Tiger Cloud is built for that ingest profile. Because it is Postgres, those readings join directly to asset, segment, and maintenance records without a second database or a sync pipeline. ### How long can we retain oilfield telemetry? Years. Compression of 90% or more keeps multi-year history affordable, and continuous aggregates keep dashboards and reporting fast over long time ranges. Retention policies let you age out raw readings while keeping the rollups you report on. ### Can we deploy on-prem or at the edge? Tiger Cloud is the managed cloud service. For on-prem or edge deployments with high availability, automated backups, and enterprise support, see TimescaleDB Enterprise (https://www.tigerdata.com/timescaledb-enterprise). It deploys at the site level or in your own cloud tenancy with no external connectivity required. For open-source self-hosted deployments, use TimescaleDB (https://www.tigerdata.com/timescaledb). Many teams run hybrid deployments with self-managed TimescaleDB and Tiger Cloud. ## 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. [Learn more](https://www.tigerdata.com/cloud) ### TimescaleDB Enterprise Use Enterprise at remote sites, on-premises, or where connectivity is limited. [Learn more](https://www.tigerdata.com/timescaledb-enterprise) ### TimescaleDB Use TimescaleDB when you want open-source control. [Learn more](https://www.tigerdata.com/timescaledb)