Commoditizing Data Analytics in the Cloud

The goal of this ERC-funded project is to commoditize large-scale data analytics in the cloud.
As a commodity, data analytics should be as cheap and readily available as electricity, meaning:

  1. The cost of analytics should be close to the theoretical minimum: the hardware cost.
  2. Data can be moved easily between clouds and systems.

To achieve this, we are designing and developing an open and cost-efficient analytical data analytics system for the cloud.

Publications

Venue Publication Link
SIGMOD 2025 High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance
Maximilian Kuschewski, Jana Giceva, Thomas Neumann, Viktor Leis
pdf
CIDR 2024 A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language
Thomas Neumann, Viktor Leis
pdf
code demo
SIGMOD 2023

BtrBlocks: Efficient Columnar Compression for Data Lakes
Maximilian Kuschewski, David Sauerwein, Adnan Alhomssi, Viktor Leis

pdf
code

VLDB 2023     Cloud Analytics Benchmark
Alexander van Renen, Viktor Leis

pdf
code 

VLDB 2021    Towards Cost-Optimal Query Processing in the Cloud
Viktor Leis, Maximilian Kuschewski
pdf  
code