Presented by:

C60376aa9096437cf64835a349343d9c

Xiaowei Jiang

Tacnode US Inc.
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Scaling PostgreSQL to meet the ever-growing demands of real-time analytics and AI workloads is a significant challenge. Traditional systems frequently hit performance bottlenecks when handling high-concurrency, low-latency queries, and writes, while also struggling with the need for seamless horizontal scalability.

Tacnode (https://tacnode.io) offers a breakthrough solution in this space by combining PostgreSQL compatibility with a fundamentally distributed architecture. Designed from the ground up for scalability and performance, Tacnode overcomes traditional system limitations with features like distributed transactional writes, hybrid storage (row, columnar, and hybrid), and a robust compute-storage separation model. These innovations allow businesses to unify transactional and analytical workloads on a single platform, eliminating the need for complex ETL processes and enabling real-time insights.

In this talk, we’ll delve into Tacnode’s key architectural innovations, including its seamless integration with Apache Iceberg. This integration bridges the gap between data lakes and databases. This capability makes it easier to use data for AI training in the lake while serving it seamlessly in the database for real-time applications. Additionally, we’ll explore how Tacnode’s compute-storage separation makes instant scaling a reality.

Join us to discover how Tacnode empowers developers, data engineers, and architects to build scalable, high-performance solutions for real-time dashboards, AI-driven feature retrieval, and high-throughput streaming pipelines—all while leveraging the familiarity of PostgreSQL’s rich ecosystem. Whether you’re looking to simplify your data architecture, unlock real-time insights, or scale AI workloads efficiently, this session will offer valuable insights and practical examples.

Date:
2025 March 19 15:00 EDT
Duration:
50 min
Room:
Seminole Ballroom
Conference:
Postgres Conference 2025
Language:
Track:
Variants and Cloud
Difficulty:
Medium