162 citations · 369 across the 16 of their papers we have counts for
13 papers · 1 filter
FastPair: GPU-Optimized String Decoding
Joseph Isaacs, Francesco Gargiulo, Peter Boncz +5
Modern data systems compress data at rest and decompress it only when needed to preserve interconnect bandwidth. This design is often inefficient on GPU-based compute platforms bec…
Stop Indexing at Full Precision: Revisiting Clustering for Vector Embeddings
Leonardo Kuffo, Peter Boncz
In this study, we revisit three widely used techniques in vector search and utilize them to optimize vector embedding indexing through clustering: dimensionality reduction, quantiz…
DuckDB-SGX2: The Good, The Bad and The Ugly within Confidential Analytical Query Processing
Ilaria Battiston, Lotte Felius, Sam Ansmink +2
We provide an evaluation of an analytical workload in a confidential computing environment, combining DuckDB with two technologies: modular columnar encryption in Parquet files (da…
OpenIVM: a SQL-to-SQL Compiler for Incremental Computations
Ilaria Battiston, Kriti Kathuria, Peter Boncz
This demonstration presents a new Open Source SQL-to-SQL compiler for Incremental View Maintenance (IVM). While previous systems, such as DBToaster, implemented computational funct…
Improving Data Minimization through Decentralized Data Architectures
Ilaria Battiston, Peter Boncz
In this research project, we investigate an alternative to the standard cloud-centralized data architecture. Specifically, we aim to leave part of the application data under the co…
The LDBC Social Network Benchmark Interactive workload v2: A transactional graph query benchmark with deep delete operations
David Püroja, Jack Waudby, Peter Boncz +1
The LDBC Social Network Benchmark's Interactive workload captures an OLTP scenario operating on a correlated social network graph. It consists of complex graph queries executed con…
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space
Gábor Szárnyas, Brad Bebee, Altan Birler +30
Graph data management is instrumental for several use cases such as recommendation, root cause analysis, financial fraud detection, and enterprise knowledge representation. Efficie…
The LDBC Social Network Benchmark
Renzo Angles, János Benjamin Antal, Alex Averbuch +21
The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For th…
Estimating Cardinalities with Deep Sketches
Andreas Kipf, Dimitri Vorona, Jonas Müller +6
We introduce Deep Sketches, which are compact models of databases that allow us to estimate the result sizes of SQL queries. Deep Sketches are powered by a new deep learning approa…
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
Andreas Kipf, Thomas Kipf, Bernhard Radke +3
We describe a new deep learning approach to cardinality estimation. MSCN is a multi-set convolutional network, tailored to representing relational query plans, that employs set sem…
Adaptive Geospatial Joins for Modern Hardware
Andreas Kipf, Harald Lang, Varun Pandey +4
Geospatial joins are a core building block of connected mobility applications. An especially challenging problem are joins between streaming points and static polygons. Since point…
G-CORE: A Core for Future Graph Query Languages
Renzo Angles, Marcelo Arenas, Pablo Barceló +9
We report on a community effort between industry and academia to shape the future of graph query languages. We argue that existing graph database management systems should consider…
From Cooperative Scans to Predictive Buffer Management
Michał Świtakowski, Peter Boncz, Marcin Żukowski
In analytical applications, database systems often need to sustain workloads with multiple concurrent scans hitting the same table. The Cooperative Scans (CScans) framework, which…