NEW YORK CITY, NY 29/11/2025 – (SeaPRwire) – As organizations race to modernize their data foundations for AI-scale workloads, a new collaboration between Tiger Data—the company behind TimescaleDB and Agentic Postgres—and Amazon Web Services (AWS) aims to reshape how enterprises build, govern, and operate Postgres-based infrastructures on the cloud. The two companies have entered a Strategic Collaboration Agreement (SCA) designed to accelerate the delivery of unified data architectures that serve developers, connected devices, and emerging autonomous AI agents.
The collaboration responds to rapidly evolving demands on operational data systems. Modern applications are producing unprecedented volumes of time-series, event-stream, and transactional data, while AI-driven automation requires environments that can be cloned, tested, and deployed in seconds. For enterprises committed to Postgres, the challenge is scaling without moving to fragmented or proprietary systems—and ensuring that operational data can flow seamlessly into AI and analytics pipelines across AWS.
Under the SCA, Tiger Data and AWS will expand deep technical integrations, co-develop go-to-market initiatives, and deliver joint solutions that help organizations consolidate their operational workloads on Postgres. Earlier this year, Tiger Data announced an integration connecting Postgres directly to Apache Iceberg on Amazon S3, enabling data to stream into lakehouse formats within seconds using standard SQL and open formats.
Strengthening Connections Across AWS Services
The enhanced collaboration broadens interoperability between Tiger Data technologies and AWS analytics and AI services—including Amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon SageMaker. The roadmap includes new integrations, extended AWS Marketplace availability, and coordinated technical enablement efforts to support enterprise adoption.
Built for the Next Generation of AI Agents
AI agents are emerging as a new category of “user,” requiring data infrastructure that can safely support rapid forking, experimentation, and parallel execution. Tiger Data’s Agentic Postgres provides these capabilities through instant, zero-copy environments, enabling agents to run workflows at scale without disrupting production systems.
Unified Architecture for Operational Data on AWS
Tiger Data’s Postgres infrastructure is engineered for high-throughput workloads—handling billions of time-series writes, low-latency queries, and automated compression. Postgres-to-Iceberg data streaming on Amazon S3 establishes a single, governed source of truth for analytics, dashboards, and AI/ML workloads across AWS environments.
“The future of data infrastructure isn’t about isolated systems,” said Ajay Kulkarni, CEO and co-founder of Tiger Data. “It’s about unifying what developers build, what devices generate, and what agents require—all on Postgres. Through our collaboration with AWS, we’re enabling this unified architecture at global scale.”
Tiger Cloud, available through AWS Marketplace, already supports more than 2,000 customers powering production systems in IoT, Web3, and AI sectors. The new SCA accelerates Tiger Data’s roadmap for expanded integrations and advanced capabilities aimed at helping enterprises build modern, AI-ready architectures centered on Postgres.