Mateusz Gienieczko | AnyBlox: A Framework for Self-Decoding Datasets | #69
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Mateusz Gienieczko | AnyBlox: A Framework for Self-Decoding Datasets | #69
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In this episode of Disseminate: The Computer Science Research Podcast, host Dr. Jack Waudby is joined by Mateusz Gienieczko, PhD researcher at TU Munich and co-author of the VLDB Best Paper Award winning paper AnyBlox.
They dive deep into a fundamental problem in modern data systems: why cutting-edge data encodings and file formats rarely make it from research into real-world systems — and how AnyBlox proposes a radical solution.
Mateusz explains the core idea of self-decoding data, where datasets ship with their own portable, sandboxed decoders, allowing any database system to read any encoding safely and efficiently. Built on WebAssembly, AnyBlox bridges the long-standing gap between database research and practice without sacrificing performance, portability, or security.
This episode is essential listening for database researchers, data engineers, system builders, and industry practitioners interested in the future of data formats, analytics performance, and making research matter in practice
Links:
- Paper: https://www.vldb.org/pvldb/vol18/p4017-gienieczko.pdf
- GitHub: https://github.com/AnyBlox
- Mat's Homepage: https://v0ldek.com/
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