Database Systems
Welcome to the web presence of the Database Research Group at University of Tübingen.
Our group pursues a variety of “all-time classic” database research questions—prime examples include query language design, translation, and optimization—but with a few twists:
We are particularly interested in the design, compilation, and optimization of expressive database languages that support rich data models and embed seamlessly into host programming languages. This regularly leads us to explore the intersection of database and programming language technology.
Whenever insightful and promising, we apply techniques that have their roots in the programming languages community to the database research domain. This paves the way for expressive and elegant language-integrated queries, new query compilation techniques, and novel query optimization strategies.
We love to teach the basics as well as the intricacies of database systems. Courses on query and programming language technology are found in our repertoire as well.
News
Dec 4 2024
Trampoline-Style Queries for SQL will be at CIDR 2025
We love the single-track system-focused CIDR series of conferences
and we are happy to be able join the community again for
CIDR 2025,
once more located in Amsterdam (NL), January 19-22, 2025.
Together with our colleagues Thomas Neumann and Altan Birler
of TU Munich, we discuss a new foundation for iterative
queries: we step away from fixpoints and instead bank
on Trampoline-Style queries for SQL,
a concept inspired by the programming languages and compilers domain. WITH TRAMPOLINE
has already been prototypically implemented in Thomas’ Umbra
RDBMS. Trampolines are versatile—they also serve as the
backbone for our work in the
compilation of imperative-style programs to SQL.
Nov 28 2022
A Fix for the Fixation on Fixpoints accepted at CIDR 2023
Tübingen returns to CIDR,
this time for the 2023 edition to be held in Amsterdam (NL), January
8–11, 2023. We will report on our recent explorations into alternative
forms of iteration in SQL—generalizing recursive common table
expressions—that are easier to write and read as well as more efficient
to evaluate than WITH RECURSIVE
(which has been established more than
20 years ago but since then has been largely left untouched).