Tiger Data and AWS Forge Unified Postgres Platform for Developers, Devices, and AI Agents

In an era defined by data, enterprises are struggling to manage an explosion of information. IoT devices stream billions of operational events, developers demand scalable yet familiar databases, and AI agents are emerging as autonomous collaborators that need instant, safe environments to experiment. The result is an urgent need for infrastructure that unifies these diverse workloads under one architecture.

Enter Tiger Data, the company behind TimescaleDB and Agentic Postgres. On October 31, 2025, they announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS), designed to deliver modern, Postgres-based infrastructure for developers, devices, and AI agents. The partnership promises tighter technical integrations, expanded joint go-to-market programs, and solutions that consolidate operational data while leveraging the full power of AWS analytics and AI services.

“The future of data infrastructure isn’t about specialized systems for every workload,” said Ajay Kulkarni, CEO and co-founder of Tiger Data. “It’s about a unified infrastructure that handles what developers build, what devices generate, and what agents need to operate—all on Postgres. With AWS, we’re making that architecture real, with integrations that connect Postgres to the full AWS stack, and the performance that makes it production-ready at scale.”

Empowering Developers Through AWS Integrations

A core feature of the collaboration is deep integration with AWS services. Developers can already connect Postgres data to Amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon SageMaker through familiar SQL interfaces. The SCA expands these capabilities by introducing more integrations, broader availability in AWS Marketplace, and joint investments in customer success and technical enablement.

This unified approach allows enterprises to maintain a Postgres core while accessing advanced analytics, machine learning, and business intelligence tools. Data streams from Postgres to Apache Iceberg on Amazon S3 in seconds, creating a single, governed source of truth across operational, analytics, and AI workloads. More information is available through Tiger Data on AWS.

Building Infrastructure for AI Agents

AI agents represent a new category of user, acting autonomously or alongside developers to test workflows and make decisions. Tiger Data’s Agentic Postgres is specifically designed to support these agents, allowing zero-copy, instant environments for experimentation and scaling. Agents can test ideas, execute parallel workflows, and operate without touching production data, enabling enterprises to explore AI innovation safely.

Resilient Architecture for Operational Data

Tiger Data’s Postgres platform excels at handling time-series and event data at scale, delivering billions of writes, low-latency queries, and automatic compression. Combined with AWS analytics, this infrastructure allows businesses to turn real-time operational streams into actionable insights. Tiger Cloud, available via AWS Marketplace, already powers over 2,000 production workloads across IoT, Web3, and AI, demonstrating the platform’s ability to meet diverse enterprise needs.

A Blueprint for the Future of Data

The Tiger Data-AWS collaboration signals a shift in modern infrastructure thinking. By unifying developers, devices, and AI agents on a single, Postgres-based platform, organizations can consolidate workloads, accelerate AI experimentation, and ensure real-time insights without compromising scalability or reliability.

For enterprises ready to embrace this new paradigm, Tiger Cloud provides a fully managed, scalable environment. Meanwhile, Agentic Postgres empowers AI agents to operate safely and efficiently, transforming data infrastructure from a bottleneck into a strategic advantage. In a world where innovation speed is driven by data, Tiger Data and AWS are enabling enterprises to build, experiment, and scale with confidence.