vldb

LSH index for approximate set containment search

Unofficial! English original and Chinese translation of the paper.

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

PromSketch: Approximation-First Timeseries Query at Scale

SQLite which supports Per-Page-Logging approach, published at VLDB 2015

Fast, scalable, and embeddable OLAP graph database in C++.

Accepted paper lists for top systems and database conferences, auto-synced from DBLP

Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing

2022 VLDB Summer School

DBSee represents the Teradata best practice beliefs that can be checked for programmatically. DBSee consists of a set of SQL scripts developed by VLDB that run against the Teradata data dictionary. Each script can be used to inform a user of the current state of their Teradata system.

Credo: Declarative Control of LLM Pipelines via Beliefs and Policies (VLDB 2026 Demo)

Code and NewsSpectrum dataset for the VLDB 2024 demo DiversiNews: enriching news consumption with relevant yet diverse news article retrieval.

BEAM port of Ertl 2024 UltraLogLog — 25% less memory than HLL, bit-identical to Hash4j

Erebus: Explaining the Outputs of Data Streaming Queries

Read the Paper

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

Blockchain and Database Related Paper/Researcher List