Explaining Postgresql Explain Tiger Data Learn how to use the postgresql explain command to get insights into your queries and speed up your postgresql query performance. This is designed to support the most demanding data workloads, particularly in ai, where fast ingest and replay are key. however, the real moonshot is what tigerdata is calling agentic postgresql: a next generation data infrastructure designed for both humans and intelligent agents.
Explaining Postgresql Explain Tiger Data While the company’s roots are in time series data, its ambitions now go far beyond. tigerdata is positioning itself as the foundation for real time transactional systems, large scale analytics, and ai agent infrastructure, all built on the familiar and trusted postgresql ecosystem. Tigerdata is now positioning itself as the fastest postgresql platform designed for what it calls "agentic workloads": applications that blend transactional processing, real time analytics, and intelligent agents that can dynamically retrieve and reason over data. “speed, flexibility, and simplicity—delivered together, on a foundation they already trust: postgresql,” said kulkarni. for organizations building the next generation of data infrastructure, tigerdata represents more than a renamed product. it’s a redefinition of what a modern database can do. Postgresql is one of the most widely used open source database systems in the world. in this guide, we explain why.
Explaining Postgresql Explain Tiger Data “speed, flexibility, and simplicity—delivered together, on a foundation they already trust: postgresql,” said kulkarni. for organizations building the next generation of data infrastructure, tigerdata represents more than a renamed product. it’s a redefinition of what a modern database can do. Postgresql is one of the most widely used open source database systems in the world. in this guide, we explain why. Unlike transactional databases that falter under analytical workloads, or data lakes that aren’t production ready, tiger postgres (enhanced with timescaledb) is purpose built for high ingest, real time analytics, and concurrent queries. Designed for transactional, analytical and agentic workloads at scale, tiger cloud allows you to extend your postgresql databases with new features without forking or wrapping them. Tigerdata, the innovative team behind timescaledb and tiger postgres, has unveiled the groundbreaking tiger lake. this new architectural layer revolutionizes the data infrastructure, bridging the operational speed of postgres with the analytical scale of the lakehouse. We’ve quietly evolved from a time series database into the modern postgresql for today’s and tomorrow’s computing, built for performance, scale, and the agentic future. so we’re changing our name: from timescale to tigerdata. not to change who we are, but to reflect who we’ve become.
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