Apache Spark has proven itself for scalability, fault tolerance and managing massive datasets; DuckDB, on the other hand, is an in-process OLAP database, designed for single-machine, high-performance execution.

Status: Under Progress

The roadmap is being finalized with community input. Milestones and priorities will be published shortly.

While attending a large Data conference I was hearing a consistent theme: data cluster headaches. Whether it’s poor, inconsistent performance, outrageous costs, noisy neighbors or the unfortunate combination of all, it’s clear that the current paradigm isn’t working optimally for everyone.

Status: Under Progress

This article will provide a detailed overview of the DazzleDuck architecture, including query planning, execution, and extensibility.

The full content will be published soon.

Status: Under Progress

This article is currently being written and reviewed. Content, examples, and diagrams will be added shortly.

Please check back soon for the complete post.