In an period outlined by exponential information progress, enterprises are confronting a well-recognized dilemma: handle huge streams of knowledge from a number of sources whereas sustaining efficiency, safety, and developer familiarity. From IoT sensors on manufacturing unit flooring to Web3 purposes and AI-driven decision-making, the necessity for a unified, scalable information platform has by no means been extra pressing.
Seizing the chance to modernize information infrastructure, Tiger Knowledge, the corporate behind TimescaleDB and Agentic Postgres, has introduced a strategic collaboration settlement (SCA) with Amazon Net Providers (AWS) aimed toward delivering fashionable information infrastructure constructed on Postgres.
The collaboration addresses three converging workloads. Builders demand high-performance databases that scale with out forcing a departure from the Postgres ecosystem. Gadgets, from industrial sensors to wearable expertise, produce huge, steady streams of operational information. Rising AI brokers, which perform as autonomous co-developers and decision-makers, require environments that permit them experiment, take a look at, and function safely at scale. Collectively, Tiger Knowledge and AWS are making a unified structure that seamlessly handles all three.
“The way forward for information infrastructure isn’t about specialised techniques for each workload,” stated Ajay Kulkarni, CEO and co-founder of Tiger Knowledge. “It’s a few unified infrastructure that handles what builders construct, what units generate, and what brokers must function—all on Postgres. With AWS, we’re making that structure actual, with integrations that join Postgres to the complete AWS stack, and the efficiency that makes it production-ready at scale.”
Deep AWS Integrations
Tiger Knowledge has lengthy provided turnkey connections to key AWS companies, together with Amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon SageMaker. These integrations permit builders to question each operational and analytics information with a single SQL interface, bridging the hole between transactional and analytical workloads.
Below the strategic collaboration, the businesses plan to develop these integrations, co-invest in technical enablement, and make Tiger Knowledge’s options much more accessible through the AWS Market. Clients can now discover the platform to deploy scalable Postgres infrastructure that integrates natively with their analytics and AI pipelines.
AI Brokers and Agentic Postgres
A very modern aspect of the partnership is Tiger Knowledge’s Agentic Postgres platform, which delivers the info primitives AI brokers want. Brokers can create zero-copy, ephemeral environments in seconds, enabling parallel experimentation, workflow testing, and autonomous operation with out affecting manufacturing databases.
For organizations deploying AI-driven purposes, this functionality is a vital enabler, lowering danger whereas accelerating innovation. By combining Agentic Postgres with AWS’s AI and machine studying companies, enterprises can construct infrastructure that helps clever, adaptive techniques at scale.
Unified Structure for Operational Knowledge
Tiger Knowledge’s core Postgres infrastructure is optimized for high-throughput, time-series, and occasion information. With billions of writes, low-latency queries, and automated compression, it ensures dependable efficiency even beneath probably the most demanding workloads. Knowledge might be streamed from Postgres to Apache Iceberg on Amazon S3 in seconds, making a single supply of fact for dashboards, analytics, and AI/ML fashions.
This structure underpins Tiger Cloud, Tiger Knowledge’s managed cloud platform, which already powers over 2,000 clients throughout IoT, Web3, and AI use circumstances. By consolidating operational information on Postgres whereas leveraging AWS analytics, organizations can simplify governance, scale back friction between techniques, and speed up time to perception.
Constructing the Subsequent Era of Knowledge Infrastructure
As enterprises more and more juggle complicated, distributed workloads, the strategic collaboration between Tiger Knowledge and AWS alerts a shift towards unification. By combining Postgres-based infrastructure with deep integrations throughout AWS analytics and AI companies, the partnership provides a scalable, developer-friendly platform that spans builders, units, and AI brokers.
The SCA is not only a expertise partnership; it’s a blueprint for the way forward for information infrastructure, enabling enterprises to handle operational complexity whereas unlocking the complete potential of real-time, clever techniques.
