Technical component

AvantGraph

High-performance graph analytics

AvantGraph is a tool that supports on-top services to perform analytics on graphs. It offers a high-performance graph processing engine for scientific data lakes, allowing a wide range of data processing tasks.

Documentation: https://avantgraph.io/

Software: https://github.com/avantlab/avantgraph/

Demo: https://github.com/avantlab/scilake-demo

Publications:

Leeuwen, W.V., Mulder, T., Wall, B.V., Fletcher, G., & Yakovets, N. (2022). AvantGraph Query Processing Engine. Proc. VLDB Endow., 15, 3698-3701. DOI:10.14778/3554821.3554878
Mulder, T., Fletcher, G. & Yakovets, N. Optimizing navigational graph queries. The VLDB Journal 34, 16 (2025). https://doi.org/10.1007/s00778-024-00892-7; arXiv: https://doi.org/10.48550/arXiv.2406.05417
W. van Leeuwen, G. Fletcher, and N. Yakovets (2024) HomeRun: A Cardinality Estimation Advisor for Graph Databases. Proceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA '24). Association for Computing Machinery, New York, NY, USA, Article 6, 1–9. DOI: https://doi.org/10.1145/3661304.3661902

Functionalities

Graph storage + analytics engine for SKGs

designed for robust and efficient processing at scale.

Cypher query support

GraphAlg integration

algorithm language, to run custom analytics within the database/query workflow

Performance-oriented compilation

Supports Lake API deployment

Roadmap

For

Service Providers

Research Organisations

Funders

Provided by

Contacts

Nick Yakovets

GraphAlg Presented at Dutch-Belgian Database Day 2025

24 January 2026

The TU Eindhoven team showcased GraphAlg at the Dutch-Belgian Database Day 2025. Learn how this open-source project makes graph algorithms accessible to everyone through intuitive tools and interactive tutorials.

SciLake at VLDB 2025 PhD Workshop

28 October 2025

Daan de Graaf (TU/e) presented his PhD research on GraphAlg, a new language for running graph algorithms directly in databases, at the VLDB 2025 PhD Workshop in London. This blog post provides an overview of his research and its significance for SciLake.