Traditionally, data architectures maintain a strict division between high-throughput operational databases and large-scale analytical lakehouses. The general wisdom for organizations seeking low-latency real-time analytics is to copy data into dedicated serving layers, which creates data redundancy, stale insights, and fragmented governance. In this talk, we explore how unifying operational and analytical workloads on open storage eliminates the need to copy... Read More

PostgreSQL and ClickHouse are two of the most popular open-source databases, powering transactional and analytical workloads across thousands of mission-critical applications. But what does it take to bring these two fundamentally different database systems together? In this talk, we’ll explore what we’re seeing in the field as customers increasingly look to bring OLTP and OLAP closer together, the challenges they... Read More

Robotics produces high-volume time series alongside video and lidar, with different sampling rates, large payloads, and expensive GPU-based feature computation. These workloads shape the storage and featurization systems we are building at Eventual for pretraining-scale video/sensor data curation. We’ll show how standard open-source building blocks—Apache Iceberg, Parquet, object storage, and MP4—combine with careful database engineering to support these workloads at... Read More

In this presentation, we will discuss the history, architecture, testing, and challenges of the Turso database management system. Turso is an SQLite-compatible, open-contribution embedded database built in Rust. It has 300+ committers and 24K GitHub stars. Its feature set includes an async architecture for backends like io_uring and IOCP, and a multi-writer mode with a Hekaton-style implementation and a logical... Read More

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