Unifying real-time Postgres and open lakehouse infrastructure for next-generation applications and agents
NEW YORK, NY / ACCESS Newswire / July 17, 2025 / TigerData, the creators of TimescaleDB and the fastest PostgreSQL for real-time, transactional, analytical, and agentic applications, today announced support for Amazon Simple Storage Service (Amazon S3) Tables-fully-managed, purpose-built S3 storage that is optimized for storing, managing, and querying Apache Iceberg tables at scale.
With native support for Amazon S3 Tables, TigerData gives customers a unified, low-latency architecture that bridges operational PostgreSQL and open lakehouse systems. This capability, known as Tiger Lake, eliminates brittle pipelines and fragmented stacks, empowering organizations to build real-time applications with full analytical context.
“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.”
“Amazon S3 Tables gives customers a fully-managed, open foundation for managing analytical data on Amazon S3 using Apache Iceberg,” said Paul Meighan, Director of Product Management, Amazon S3. “By integrating with Amazon S3 Tables, TigerData is helping redefine modern data architecture-bringing together real-time Postgres and open lakehouse systems to power the next generation of intelligent applications.”
TigerData is a member of the Amazon Web Services (AWS) ISV Accelerate Program and is available in the new AWS Marketplace AI Agents at Tools category, helping customers more easily adopt and deploy Postgres-native infrastructure for intelligent applications.
Tiger Lake is available today in public beta on Tiger Cloud. It allows customers to continuously stream any PostgreSQL table into Amazon S3 Tables, without custom pipelines or orchestration. It also enables syncing of computed results-such as aggregates or features-from Iceberg back into PostgreSQL, enabling bidirectional, low-latency data flows.
This architecture enables a powerful new pattern for real-time applications, from agents to customer-facing analytics. Tiger Lake gives developers low-latency access to analytical insights, operational events, and enriched features, without waiting on ETL or manual syncs. Whether powering agents, copilots, or dashboards, it lets teams query historical results, ML features, and semantic summaries directly from Postgres using familiar tools and infrastructure. It bridges the gap between live application context and deep analytical history-unlocking the intelligent behavior modern applications demand.
This launch reflects a broader architectural shift: away from monolithic data stacks and toward a modular architecture where operational databases and lakehouses work as peers. With Tiger Lake, developers gain the speed and concurrency of Postgres alongside the scale and flexibility of Iceberg-on open infrastructure, without vendor lock-in.
About TigerData
TigerData is the company behind TimescaleDB and Tiger Postgres, the fastest PostgreSQL for real-time, analytical, and agentic applications. As an AWS Partner with solutions available in AWS Marketplace, TigerData helps more than 2,000 customers-including Warner Music, HuggingFace, Mistral, Linktree, and Postman-build intelligent applications using fully managed PostgreSQL infrastructure. Founded in 2017, TigerData has raised over $180 million from investors including Benchmark, NEA, Redpoint, and Tiger Global.
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SOURCE: TigerData
