# Tiger Data and AWS Collaborate to Modernize Data Infrastructure with Postgres
In an era defined by exponential data growth,enterprises are confronting a familiar dilemma: how to manage vast streams of information from multiple sources while maintaining performance,security,and developer familiarity. From IoT sensors on factory floors to Web3 applications and AI-driven decision-making,the need for a unified,scalable data platform has never been more urgent.
Seizing the opportunity to modernize data infrastructure, Tiger Data, the company behind TimescaleDB and Agentic Postgres, has announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) aimed at delivering modern data infrastructure built on Postgres.
The collaboration addresses three converging workloads. Developers demand high-performance databases that scale without forcing a departure from the Postgres ecosystem. Devices, from industrial sensors to wearable technology, produce massive, continuous streams of operational data. Emerging AI agents, which function as autonomous co-developers and decision-makers, require environments that let them experiment, test, and operate safely at scale. together, Tiger Data and AWS are creating a unified architecture that seamlessly handles all three.
“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.”
## Deep AWS Integrations
Tiger Data has long offered turnkey connections to key AWS services, including amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon SageMaker. These integrations allow developers to query both operational and analytics data with a single SQL interface, bridging the gap between transactional and analytical workloads.
Under the strategic collaboration, the companies plan to expand these integrations, co-invest in technical enablement, and make Tiger Data’s solutions even more accessible via the AWS Marketplace. Customers can now explore the platform to deploy scalable Postgres infrastructure that integrates natively with their analytics and AI pipelines.
## AI Agents and Agentic Postgres
A particularly innovative