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Research

Publications and project research

This page collects the papers, demos, and abstracts that shape the PixelsDB research agenda and system design.

How Consistent and Fresh are Lake Tables Really

FORMATS 2026 @ SIGMOD

PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and Prices

ICDE 2025

Serverless Query Processing with Flexible Performance SLAs and Prices

arXiv 2024

Using Cloud Functions as Accelerator for Elastic Data Analytics

SIGMOD 2023

Columnar Storage Optimization and Caching for Data Lakes (short)

EDBT 2022

Pixels: An Efficient Column Store for Cloud Data Lakes

ICDE 2022

Pixels: Multiversion Wide Table Store for Data Lakes (abstract)

CIDR 2020

Rainbow: Adaptive Layout Optimization for Wide Tables (demo)

ICDE 2018

Wide Table Layout Optimization by Column Ordering and Duplication

SIGMOD 2017

PixelsDB is an open GitHub-centered project for analytics systems research and engineering.

github.com/pixelsdb