What SpaceX, AI Agents, and Nuclear Fusion have in common
Tiger Data (formerly known as Timescale) is PostgreSQL re-engineered for the most data-heavy, real-time workloads on the planet—built for devs, physical hardware networks, and autonomous AI agents.
Have you watched your dashboard spin, while your database choked on a massive firehose of telemetry data, pouring in from thousands of factor-floor sensors and industrial hardware? To solve problems like these, you need a best in class database, able to handle the load.
You need Tiger Data.
Tiger Data started as an IoT platform, but when off-the-shelf databases couldn’t handle their sensor data, they built a PostgreSQL extension that could. They quickly realized they were solving a problem a lot of other people had too, and pivoted to become a full database company.
Fast Ingest, Efficient storage & Real-time Analytics at Scale
Today, Tiger Data is the fastest PostgreSQL cloud platform that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries.
From manufacturing and oil and gas to finance, logistics, space, and telecom, Tiger Data powers mission-critical applications where data speed and reliability aren’t optional. If a company is running complex monitoring, financial risk management, or industrial data analysis, Tiger Data was built for that.
Postgres That Doesn’t Break
Data is everywhere and it’s only compounding. Whether it’s AI agents, SaaS, or the physical world, data is the substrate for all of it. Tiger Data’s bet on PostgreSQL has proven right — it’s the leading developer database — and they’re going to keep building on that.
Tiger Data is doubling down on the physical world, targeting industries like manufacturing, AI data centers, electric vehicles, energy, battery technology, nuclear fusion, and chip design. These are some of the most data-intensive operations on the planet, like Nvidia and Spacex, generating massive volumes of time-series data that Tiger Data was built to handle. In a lot of ways it is a return to their IoT roots, just at a much bigger scale.
DB’s for Agents - One Per Task, No Blast Radius
Tiger Data has a strong conviction that AI agents are the new developer, and they are building PostgreSQL for that world. Their latest product, Ghost, is a database built specifically for AI agents and represents that vision in action. The philosophy behind it is the same one that has guided them from the start: when a new wave comes, you don’t throw everything out. You take what is working and you make it better.
