activity
20122023
most citedBenchmarking Learned Indexes

154 citations · 234 across the 10 of their papers we have counts for

collaborators

13 papers

cs.HC2023

DashQL -- Complete Analysis Workflows with SQL

André Kohn, Dominik Moritz, Thomas Neumann

We present DashQL, a language that describes complete analysis workflows in self-contained scripts. DashQL combines SQL, the grammar of relational database systems, with a grammar…

cs.DB2020★ 154 cited

Benchmarking Learned Indexes

Ryan Marcus, Andreas Kipf, Alexander van Renen +5

Recent advancements in learned index structures propose replacing existing index structures, like B-Trees, with approximate learned models. In this work, we present a unified bench…

cs.DB2020★ 26 cited

RadixSpline: A Single-Pass Learned Index

Andreas Kipf, Ryan Marcus, Alexander van Renen +4

Recent research has shown that learned models can outperform state-of-the-art index structures in size and lookup performance. While this is a very promising result, existing learn…

cs.DB2019

SOSD: A Benchmark for Learned Indexes

Andreas Kipf, Ryan Marcus, Alexander van Renen +4

A groundswell of recent work has focused on improving data management systems with learned components. Specifically, work on learned index structures has proposed replacing traditi…

cs.DB2019

GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons

Christian Winter, Andreas Kipf, Christoph Anneser +3

As individual traffic and public transport in cities are changing, city authorities need to analyze urban geospatial data to improve transportation and infrastructure. To that end,…

cs.DB2019★ 4 cited

DeepSPACE: Approximate Geospatial Query Processing with Deep Learning

Dimitri Vorona, Andreas Kipf, Thomas Neumann +1

The amount of the available geospatial data grows at an ever faster pace. This leads to the constantly increasing demand for processing power and storage in order to provide data a…