By: Jake Smiths

TigerData, the company behind TimescaleDB and Tiger Postgres, has just announced support for AWS S3 Tables, marking a significant leap in modern data infrastructure. With this integration, TigerData becomes one of the first to offer native support for streaming PostgreSQL tables directly into Apache Iceberg-backed S3 Tables without relying on brittle, high-maintenance data pipelines.

The offering, known as Tiger Lake, is now in public beta on Tiger Cloud. It enables real-time, bidirectional data movement between PostgreSQL and S3 Tables, allowing developers to build applications that are not only transactional and responsive but also analytically rich.

For companies building agents, copilots, customer-facing analytics, or feature-rich dashboards, the message is clear: the era of juggling ETL jobs and disjointed architectures is coming to an end.

From Fragile Pipelines to Native Infrastructure

Before Tiger Lake, many teams had to cobble together solutions using tools like Kafka, Flink, and custom scripts to move operational data into the data lake, and then find more tools to bring it back again.

“We stitched together Kafka, Flink, and custom code to stream data from Postgres to Iceberg—it worked, but it was fragile and high-maintenance,” said Kevin Otten, Director of Technical Architecture at Speedcast. “Tiger Lake replaces all of that with native infrastructure. It’s not just simpler—it’s the architecture we wish we had from day one.”

With Tiger Lake, TigerData eliminates these architectural pain points and provides a sense of relief. It offers native streaming from any PostgreSQL table into Apache Iceberg tables in S3, and even allows computed data (such as ML features or aggregates) to be pushed back into Postgres. The result: an elegant, low-latency data fabric that serves both operational and analytical needs.

Why AWS S3 Tables Matter

Unveiled earlier this year, AWS S3 Tables is a new Amazon S3 feature that allows customers to manage Apache Iceberg tables using open standards. By enabling open table formats like Iceberg directly on S3, AWS is encouraging a shift away from proprietary data warehouses and toward modular, interoperable ecosystems.

TigerData’s alignment with AWS is no accident. As a member of the AWS ISV Accelerate Program and a featured provider in the AWS Agents Marketplace, the company is well-positioned to help organizations adopt and operationalize Postgres-native architectures for agentic and intelligent apps.

Building for the Next Generation of Applications

The timing of this release taps into an industry-wide transformation. Traditional, monolithic data stacks are giving way to modular, real-time architectures. Businesses are no longer content with one-way ETL pipelines and overnight batch jobs. They want systems that can learn, act, and adapt in the moment.

Tiger Lake enables exactly that. Developers can now query historical context, ML features, and analytical summaries directly from PostgreSQL, using standard tools and infrastructure. That unlocks a new class of intelligent behavior for agents, dashboards, and event-driven services, without compromising performance.

This is more than just a performance upgrade; it’s a rethinking of the application-data relationship. With Tiger Lake, operational databases and lakehouses finally become peers, not silos.

Looking Ahead

TigerData’s latest announcement signals a maturing of the modern data stack. Its seamless integration with AWS S3 Tables, combined with the high-speed performance of Tiger Postgres, presents a compelling alternative to legacy data architectures.

Founded in 2017 and backed by $180 million in funding from Benchmark, NEA, Redpoint, and Tiger Global, TigerData already counts HuggingFace, Mistral, Linktree, and Postman among its more than 2,000 customers. With the release of Tiger Lake, the company further solidifies its position as a key enabler of the real-time, AI-driven future.

For developers and architects, the path forward is becoming clearer: fewer silos, more intelligence, and infrastructure that’s finally catching up to application needs.