Delivering Modern Data Infrastructure for Developers, Devices, and Agents, built on Postgres.
NEW YORK CITY, NY / ACCESS Newswire / November 25, 2025 / Tiger Data, the company behind TimescaleDB and Agentic Postgres, today announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS). This SCA accelerates the delivery of modern data infrastructure built on Postgres-providing a unified platform for developers, devices, and AI agents, with deep integrations across AWS analytics and AI services.
The demand on data infrastructure has never been higher. Developers need databases that scale without abandoning the Postgres ecosystem they know. Devices, from factory sensors to wearables, generate massive streams of operational data that need to flow into analytics and AI systems in real time. AI agents are emerging as a new category of user, requiring infrastructure that lets them fork environments instantly to experiment, test, and operate safely at scale.
Tiger Data and AWS are building the unified architecture that brings these workloads together. Under the SCA, the companies will deepen technical integrations, expand go-to-market programs, and deliver joint solutions that help enterprises consolidate operational data on Postgres. This follows an integration announced earlier this year with Tiger Data and Amazon S3 Tables to stream data to Apache Iceberg in seconds, all using SQL and open standards.
The SCA establishes a comprehensive framework for building modern data architectures on AWS with Postgres:
Deep Integration with AWS Services
Existing integrations and turnkey connections to Amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon SageMaker mean developers can query operational data and lakehouse analytics with the same SQL interface. The collaboration includes joint development of additional integrations, expanded AWS Marketplace availability, and co-investment in technical enablement and customer success programs.
Infrastructure for AI Agents
As AI agents become co-developers and autonomous decision-makers, they need new database primitives. Tiger Data’s Agentic Postgres platform delivers data infrastructure for agents, enabling developers to create instant, zero-copy environments in seconds. Agents can test workflows, run parallel experiments, and operate at scale without touching production.
Unified Architecture for Operational Data
Tiger Data delivers resilient Postgres that handles time-series and event data at scale: billions of writes, low-latency queries, and automatic compression. Data streams from Postgres to Apache Iceberg on Amazon S3 in seconds, providing a single governed source of truth for dashboards, analytics, and AI/ML workloads across AWS.
“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.”
Tiger Cloud is available through AWS Marketplace and already powers more than 2,000 customers building production workloads across IoT, Web3, and AI. This SCA accelerates the roadmap for new capabilities, expanded integrations, and joint solutions that help customers build the modern data architecture for developers, devices, and agents-all on Postgres.
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About Tiger Data
Tiger Data is the company behind TimescaleDB and Agentic Postgres, the modern data infrastructure company for IoT, Web3, and AI. Tiger Data powers more than 2,000 customers-including OpenSea, HuggingFace, Mistral, Mercor, Toyota, Siemens-build applications using fully managed cloud infrastructure, built on PostgreSQL. Founded in 2017, Tiger Data has raised over $180 million from investors including Benchmark, NEA, Redpoint, and Tiger Global.
Media Contact:
Omri Hurwitz
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SOURCE: TigerData
