FORMATS '26 — Sunday, May 31, 2026.

1st International Workshop on Data FORMATS for Modern Architectures and Workloads

Where Research Meets Practice.

Sponsored by and held in conjunction with ACM SIGMOD/PODS 2026 in Bengaluru, India.

Accepted Papers

The following papers have been accepted for FORMATS 2026. Congratulations to all authors!

  • Commutative Compaction
    Chris Douglas* (UC Berkeley), Joseph Hellerstein (UC Berkeley)
  • Zero-Scan Data Quality: Leveraging Table Format Metadata for Continuous Observability at Scale
    Mohit Verma* (LinkedIn), Shantanu Rawat (LinkedIn), Christian Bush (LinkedIn), Sumedh Sakdeo (LinkedIn), Lokesh Amarnath Ravindranathan (LinkedIn), Dwarak Bakshi (LinkedIn)
  • How Consistent and Fresh are Lake Tables Really
    Zinuo Li (Renmin University of China), Dongyang Geng (Renmin University of China), Haoyue Li (Renmin University of China), Hailong Yu (eDaijia Automobile Technology), Qi Lei (Renmin University of China), Haoqiong Bian* (Renmin University of China)
  • What No One Tells You About Page Pruning in Parquet: The Real Cost of Page Index Parsing
    Faeze Faghih* (Technical University of Darmstadt), Si Jun Kwon (Technical University of Darmstadt), Zsolt István (Technical University of Darmstadt)
  • Polyglot: An LLM-Driven Semantic Control Plane for Cross-Format Type Interoperability Across Lakehouse Formats
    Aastha Agrrawal* (LinkedIn), Sumedh Sakdeo (LinkedIn), Afzal Afzal (LinkedIn), Ruolin Fan (LinkedIn), Kunal Narula (LinkedIn), Lenisha Gandhi (LinkedIn)
  • Metadata-as-Data in Apache Hudi: A Multi-Modal Index Substrate for Lakehouse Tables
    Sagar Sumit* (Anyscale), Prashant Wason (Uber), Sivabalan Narayanan (Onehouse)
  • The Lance Lakehouse Format
    Ayush Chaurasia (LanceDB), Jack Ye (LanceDB), Lu Qiu (LanceDB), Lei Xu (LanceDB), Weston Pace* (LanceDB)
  • Table Format Optimizations in Managed Spark for Dataproc
    Isha Tarte* (Google), Jayadeep Jayaraman (Google), Abhishek Modi (Google), Vishal Karve (Google), Jingwei Lu (Google), Sourabh Badhya (Google), Rajarshi Sarkar (Google), Aditya Shah (Google), Haymant Mangla (Google), Zihan Cao (Google), Huadong Liu (Google), Warren Zhu (Google), Wei Yan (OpenAI)
  • Amethyst: Adaptive Compaction for LSM Trees via Segment-Level Policy Selection
    Suchitra Shankar* (PES University), Nilin Rose (Jain University)