Tiger Data Launches Agentic Postgres: The Database Built for the AI Agent Era
- As AI agents weave their way into everyday workflows across industries, the very foundations of data architecture are being rewritten.
- Customary databases were created for linear applications and human-driven logic.
- With Agentic Postgres, we're defining the database for agents - a new kind of user that needs infinite, reproducible environments to branch, explore, and adapt," said Ajay Kulkarni,...
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Tiger Data launches Agentic Postgres for AI Agents
As AI agents weave their way into everyday workflows across industries, the very foundations of data architecture are being rewritten. Tiger Data, known for building the database layer that powered billions of IoT devices, has announced Agentic Postgres, a database purpose-built for the new generation of autonomous programs that learn, adapt, and operate in parallel.
Customary databases were created for linear applications and human-driven logic. But agents don’t follow straight lines; they branch, explore, and evolve simultaneously. Enabling this kind of behavior demands a database capable of generating safe,instant copies of data so agents can test,iterate,and learn freely without risking production systems or inflating costs.
“We defined the database for IoT. With Agentic Postgres, we’re defining the database for agents - a new kind of user that needs infinite, reproducible environments to branch, explore, and adapt,” said Ajay Kulkarni, co-Founder and CEO of Tiger Data. “Tiger already powers Fortune 500 companies across IoT, Web3, and AI, demonstrating its readiness for production at scale.”
A New Foundation for Agentic Workloads
Available now on Tiger, Tiger Data’s fully managed Postgres cloud, Agentic Postgres introduces a key breakthrough: forkable infrastructure. This capability allows developers and AI agents to create instant, copy-on-wriet branches of both databases and storage volumes, making it possible to run parallel experiments safely and affordably.
Forkable infrastructure combines two capabilities that unlock what Tiger Data calls “safe, instant parallelism” for agent workloads:
- Forkable Databases: Developers can spin up zero-copy branches of Postgres itself (including schema, tables, and rows) in seconds. This enables teams to test new logic,debug issues,or run simulations without risking production data.
- Forkable Volumes: Beyond databases, these forks extend to the entire habitat, including storage, embeddings, indexes, and artifacts, so each forked environment is a complete, reproducible