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 element of the partnership is Tiger Data’s Agentic Postgres platform, which delivers the data primitives AI agents need. Agents can create zero-copy, ephemeral environments in seconds, enabling parallel experimentation, workflow testing, and autonomous operation without affecting production databases.
For organizations deploying AI-driven applications, this capability is a critical enabler, reducing risk while accelerating innovation. By combining Agentic Postgres with AWS’s AI and machine learning services, enterprises can build infrastructure that supports intelligent, adaptive systems at scale.
Unified Architecture for Operational Data
Tiger Data’s core Postgres infrastructure is optimized for high-throughput, time-series, and event data. With billions of writes, low-latency queries, and automatic compression, it ensures reliable performance even under the most demanding workloads. Data can be streamed from Postgres to Apache Iceberg on Amazon S3 in seconds, creating a single source of truth for dashboards, analytics, and AI/ML models.
This architecture underpins Tiger Cloud, Tiger Data’s managed cloud platform, which already powers over 2,000 customers across IoT, Web3, and AI use cases. By consolidating operational data on Postgres while leveraging AWS analytics, organizations can simplify governance, reduce friction between systems, and accelerate time to insight.
Building the Next Generation of Data Infrastructure
As enterprises increasingly juggle complex, distributed workloads, the strategic collaboration between Tiger Data and AWS signals a shift toward unification. By combining Postgres-based infrastructure with deep integrations across AWS analytics and AI services, the partnership offers a scalable, developer-friendly platform that spans developers, devices, and AI agents.
The SCA is not just a technology partnership; it is a blueprint for the future of data infrastructure, enabling enterprises to manage operational complexity while unlocking the full potential of real-time, intelligent systems.
