Tigerdata endorses compatibility with Amazon S3 storage for databases
In a significant move, TigerData, the company behind TimescaleDB and Tiger Postgres, has announced the launch of its unified architecture, Tiger Lake, in the new AWS Marketplace AI Agents at Tools category. This groundbreaking architecture integrates operational PostgreSQL with open lakehouse systems, bridging the gap between the transactional world of PostgreSQL and the scalable, cloud-native analytical lakehouse.
Tiger Lake leverages Apache Iceberg as the table format and Amazon S3 Tables for storage. This integration enables real-time native replication of Postgres and TimescaleDB hypertables into Iceberg-formatted S3 Tables. The architecture also allows analytical results to be synced back into PostgreSQL, facilitating seamless round-trip workflows between transactional and analytical systems.
Key features of Tiger Lake include real-time native replication, the syncing of processed analytical data back into operational Postgres instances, a fully open, composable design, and the ability for operational and analytical workloads to coexist without sacrificing performance or simplicity.
Positioned as a future-proof, vendor-neutral alternative to vertically integrated or closed proprietary solutions, Tiger Lake allows teams to evolve their infrastructure with broad ecosystem technology rather than closed platforms.
Tiger Lake offers additional supporting capabilities such as a beta Iceberg destination connector for seamless integration with Amazon S3 tables and Livesync functionality for continuous import of S3 data into Tiger Cloud databases. However, current limitations regarding updates and deletes apply to the Livesync functionality.
TigerData's native support for Amazon S3 Tables provides a unified, low-latency architecture that eliminates brittle pipelines and fragmented stacks, offering low-latency access to analytical insights, operational events, and enriched features.
With Tiger Lake, teams can query historical results, ML features, and semantic summaries directly from Postgres. The architecture also allows for continuous streaming of any PostgreSQL table into Amazon S3 Tables without custom pipelines or orchestration.
Tiger Lake is available in public beta on Tiger Cloud and has been backed by investors including Benchmark, NEA, Redpoint, and Tiger Global, with TigerData having raised over $180 million. The company boasts over 2,000 customers, including Warner Music, HuggingFace, Mistral, Linktree, and Postman, who use TigerData's fully managed PostgreSQL infrastructure to build intelligent applications.
In summary, TigerData's Tiger Lake architecture leverages open lakehouse standards and AWS S3 Tables to provide a unified, low-latency architecture that enables continuous data synchronization and integrated real-time analytics workflows across both environments. This new architecture offers a modular approach that works towards a shift away from monolithic data stacks, enabling a new pattern for real-time applications.
