---
title: "Time-Series PostgreSQL at Petabyte Scale"
description: "From the creators of TimescaleDB — the PostgreSQL platform trusted by enterprises processing trillions of metrics daily. Start a free trial or get a demo."
url: "https://www.tigerdata.com"
---


# Postgres for live data

Speed without sacrifice for time-series workloads.

## Core Primitives

### Automatic partitioning

Time- and key-based partitioning for fast reads and writes.

### Row-columnar storage

Row storage for writes. Columnar storage for analytics.

### Tiered storage

Hot data on SSD, colder data on low-cost object storage.

### Lakehouse integration

Ingest from Kafka and S3, replicate to Iceberg.

### Time-series functions

200+ SQL functions for time-based analytics.

### Interface

Postgres-native access via SQL, APIs, CLI, and UI.

### Search

Hybrid retrieval with keywords, vectors, filters, and ranking.

## Customer Stories

### Flowco (Oil & Gas)

> Tiger Data has freed up time for my team to focus on other objectives. It has increased our velocity to ship our roadmap faster. We are realizing 66% monthly cost savings.
>
> — Matt Owens, Principal Software Engineer, Flowco

### Pfiefer & Langen (Manufacturing)

> We finally unified our real-time and historical data. Now we seamlessly stream from TimescaleDB into Iceberg, giving our analysts the power to explore, model, and act on data across S3, Athena, and Tiger Data.
>
> — Maxwell Carritt, Lead IoT Engineer, Pfiefer & Langen

### Speedcast (Telecommunications)

> We stitched together Kafka, Flink, and custom code to stream data from Postgres to Iceberg. It worked, but it was fragile and high-maintenance. Tiger Lake replaces all of that with native infrastructure. It’s the architecture we wish we had from day one.
>
> — Kevin Otten, Director of Technical Architecture, Speedcast

### Axpo (Utilities)

> Before we used Tiger Data, we had our data in MSSQL. We connected 2 power plants to our system, and after half a year, the databases were completely full and the whole system crashed. Now with Tiger Data, we connected more than 20 different systems to our database and the performance is still quite good.
>
> — Emanuel Joos, Lead Software Engineer, Axpo.

## Enterprise Ready

### Secure

Encryption at rest and in transit, private networking, and access controls.

### Reliable

High availability, automated backups, and point-in-time recovery.

### Compliant

SOC 2 Type II, GDPR support, and enterprise security standards.