In today’s technology landscape, enterprises face unprecedented pressure to manage ever-growing volumes of data. From real-time telemetry generated by IoT devices to analytics pipelines powering AI applications, the need for scalable, reliable, and flexible infrastructure has never been higher. Yet, developers still prefer familiar tools, particularly the PostgreSQL ecosystem, which has become the backbone of countless mission-critical systems.
Recognizing this convergence, Tiger Data, the company behind TimescaleDB and Agentic Postgres, has entered a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to redefine modern data infrastructure.
The SCA is designed to accelerate the adoption of unified Postgres-based architectures that support three distinct workloads: developer applications, device-generated data, and AI agents. Tiger Data and AWS are deepening technical integrations, expanding go-to-market programs, and delivering joint solutions that enable enterprises to consolidate operational data on Postgres while leveraging the full spectrum 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.”
Deep Integration Across AWS Services
Tiger Data has already established robust connections with Amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon SageMaker, enabling developers to query operational data and analytics lakehouses with the same SQL interface. The collaboration aims to expand these integrations further, increase Tiger Data’s presence on the AWS Marketplace, and co-invest in technical enablement and customer success programs. Enterprises can now access Tiger Data on AWS to power production workloads with reduced operational complexity and tighter integration across AWS tools.
Infrastructure Built for AI Agents
One of the most innovative aspects of the collaboration is Tiger Data’s Agentic Postgres platform. As AI agents emerge as autonomous decision-makers and co-developers, they require specialized database primitives. Agentic Postgres enables instant, zero-copy environments where agents can test workflows, run parallel experiments, and operate at scale without touching production systems. This capability ensures that AI-driven applications can iterate rapidly while maintaining robust governance and data integrity.
Unified Architecture for Operational Data
Tiger Data’s resilient Postgres infrastructure excels in handling time-series and event data at scale, supporting billions of writes, low-latency queries, and automatic compression. Real-time streaming to Apache Iceberg on Amazon S3 creates a single, governed source of truth for dashboards, analytics, and AI/ML workloads.
Tiger Cloud, available through the AWS Marketplace, already powers over 2,000 customers across IoT, Web3, and AI domains. The collaboration with AWS promises to accelerate the roadmap for new capabilities, expanded integrations, and joint solutions, delivering modern data architectures that meet the demands of developers, devices, and agents alike.
Toward a Unified Data Future
As enterprises struggle with fragmented data environments and specialized tools for different workloads, Tiger Data and AWS are making a case for unification. By combining Postgres-based infrastructure with deep integrations across the AWS ecosystem, they are offering organizations a scalable, flexible, and developer-friendly platform.
The strategic collaboration is more than a partnership; it is a blueprint for the next generation of data infrastructure, designed to power the applications, devices, and intelligent agents of tomorrow.
