--- title: "Postgres for Sensor and Machine Data on Azure" description: "Run Tiger Cloud on Azure to ingest, compress, and query time-series, sensor, and machine data at scale on Postgres." url: "https://www.tigerdata.com/partners/azure" --- # Postgres for sensor and machine data on Azure Industrial, energy, and robotics systems push relentless streams of sensor and time-series data. Tiger Cloud runs on Azure and extends Postgres to ingest, compress, and query it at scale, so your telemetry lives in one database instead of a sprawl of pipelines. - 100% Postgres - Built for sensor and machine data - PAYGO or annual commit ### Better together: Your data stays on Azure **ingest / stream** — High-throughput telemetry, events, and metrics, from edge to cloud ↓ **Tiger Cloud on Azure** — Postgres + Hypertables + Hypercore + Continuous Aggregates. Private Link into your VNet. **Tiered storage** — Cold data on Azure Blob Storage, compressed, still queryable in SQL ↓ **Analyze** — Power BI, dashboards, and alerting **ML / AI** — Model training and inference ## Trusted by thousands of companies - Toyota - Schneider Electric - [Flogistix](https://www.tigerdata.com/blog/how-flogistix-by-flowco-reduced-infrastructure-management-costs-by-66-with-tiger-data) - Glooko - Speedcast - Speedscale - MarketReader - Octave Energy - Torus - Cactos ## Why Tiger Data + Azure One database for live data, on the cloud you already run The most cost-effective system is the one you don't have to build, sync, and operate. Tiger Cloud adds time-series analytics to Postgres inside Azure, so analytics stays on your source of truth instead of moving to a second system. ### No new query language, no rewrite _Stay on Postgres_ Tiger Cloud is Postgres extended, not replaced. Keep your SQL, your drivers, and your existing Azure tooling. Adoption is a connection string, not a migration project. ### Everything the Apache 2 Edition leaves out _The full feature set_ Azure Database for PostgreSQL ships TimescaleDB Apache 2 Edition, which has no compression, no continuous aggregates, no Toolkit, and no skip scan. Tiger Cloud gives you all of it, managed, and on the same SQL interface your team already knows. ### Procurement you already have _Buy through Marketplace_ Subscribe through Azure Marketplace with consolidated billing on your existing Azure invoice. ### Fewer systems, less on-call _Consolidate & cut cost_ Native compression averages 95% and tiered storage moves cold chunks to Azure Blob Storage while keeping them queryable in SQL. Teams routinely fold a separate analytics engine back into one Postgres on Azure. ## Wired into the Azure services your team already uses Tiger Cloud connects across the Azure data path, from ingest and streaming through storage, compute, and analytics. ### ingest & streaming - Apache Kafka - PostgreSQL / Livesync - Azure Event Hubs ### storage - Azure Blob Storage ### databases - Azure Database for PostgreSQL flexible server - Azure SQL Database - Microsoft Fabric ### compute / machine learning - Azure Virtual Machines - Azure Kubernetes Service - Azure Machine Learning - Microsoft Foundry ### networking - Azure Private Link ### observability - Azure Monitor - Prometheus - Datadog ## Still on the Apache 2 Edition? When you're running TimescaleDB Apache 2 edition, you're missing out on critical time-series capabilities. Self-hosting the Apache 2 licensed edition of Azure PostgreSQL Flexible Server works for early projects. However, it doesn't offer time-series capabilities such as compression, continuous aggregates, and skip scan; the features that decide whether a workload scales or needs an architectural workaround. - Hypercore columnar storage and compression averaging 95% - Incremental materialized views that replace the batch jobs you maintain today - Toolkit hyperfunctions and skip scan, so your hardest queries stay one SQL call instead of custom code - Tiered storage to Azure Blob Storage, so history stays queryable while lowering storage costs ## Customer stories > Tiger Cloud changed the equation. It gave us the features Azure's Apache 2 edition held back: compression policies, continuous aggregates, and skip-scan. Ultimately, we made the decision to commit our entire platform to Tiger Cloud instead of trying to band-aid Azure. — **Tristan Vermeesch**, Software Engineer, Companion.energy ([Read more](https://www.tigerdata.com/blog/companion-energy-case-study-tiger-data)) > We chose Tiger Cloud, the fully managed service on Azure, because it was a question of speed. We needed to get up and running fast and offload infrastructure management entirely. Encore, our DevOps platform, provides ephemeral environments on Google Cloud, and Tiger Cloud's database branching fits naturally into that workflow. — **Victor Grabow**, CTO, Float ([Read more](https://www.tigerdata.com/blog/how-float-runs-ai-energy-company-3-person-team-tiger-data)) ## Move workloads stranded at the edge into Azure Factories, substations, and remote sites generate years of sensor and machine data that rarely makes it past a local server. Run TimescaleDB at the edge and on-premises, then replicate it into Tiger Cloud on Azure. Local site data becomes fleet-wide visibility, without ripping out what already works on the plant floor. 1. **Edge** — Sensors and PLCs captured by your SCADA gateway or edge platform. 2. **Site** — TimescaleDB on-premises. SQL native. Air-gap ready. 3. **Cloud** — Tiger Cloud on Azure. Fleet-wide analytics and multi-site visibility via the PostgreSQL source connector. 4. **Lakehouse** — Power BI, Azure Synapse, and Azure ML connect over standard Postgres drivers. Read replicas absorb heavy BI and ML queries. ## Start in minutes with budget you already have Subscribe through Azure Marketplace for consolidated billing on your existing Azure invoice. ### Pay as you go Usage-based pricing with independent compute and storage scaling. Start on a 30-day free trial with $1,000 in credits and only pay for what you run. ### Annual Commit Commit annually for predictable pricing on production workloads. Private offers with customized terms are also available. ## Keep your application and its related time-series data on Postgres. Spin up Tiger Cloud on a 30-day free trial, or subscribe through Azure Marketplace in minutes. [Start a free trial](https://www.tigerdata.com/go/trial) · [Subscribe on Azure Marketplace](https://marketplace.microsoft.com/en-us/product/timescale1759504210261.tigerdata-payg?tab=Overview)