duckdb-pgq VS efg

Compare duckdb-pgq vs efg and see what are their differences.

duckdb-pgq

DuckDB is an in-process SQL OLAP Database Management System (by cwida)
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duckdb.org
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efg

GPU based Compressed Graph Traversal (by pgera)
elias-fano graph-compression Cuda graph-algorithms GPU
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duckdb-pgq efg
1 2
34 15
- -
0.0 4.7
about 1 month ago 11 months ago
C++ C
MIT License Apache License 2.0
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duckdb-pgq

Posts with mentions or reviews of duckdb-pgq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-03.
  • Vectorizing Graph Neural Networks
    4 projects | news.ycombinator.com | 3 Jul 2023
    You might be interested in duckdb-pgq[1], working on implementing graph queries support in duckdb. There are some papers online about it as well if you are interested.

    1: https://github.com/cwida/duckdb-pgq

efg

Posts with mentions or reviews of efg. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-03.
  • Vectorizing Graph Neural Networks
    4 projects | news.ycombinator.com | 3 Jul 2023
    > I believe you are not guaranteed for the edge data of adjacent nodes to be adjacent in memory

    The edge data of a particular node is contiguous, but yes, the edge data of a collection of nodes is not contiguous. You can reorder (permute) the graph for some metric as a preprocessing step so that you get better locality. This only works for static graphs though.

    > For float-based edge data I think quantization works well, and I believe you can further compress the ROW/COL indices

    Yes, index compression is pretty well studied and understood. The challenge here is mostly good compression ratio and high decompression performance. There are a couple of works that I'm aware of that do this for gpus. This repo by Mo Sha et al. (https://github.com/desert0616/GCGT) is pretty good, and I also did some work in this space (https://github.com/pgera/efg).

  • A Compressed Indexable Bitset
    6 projects | news.ycombinator.com | 1 Jul 2023
    Btw, core EF is quite efficient on the decoding side even on GPUs. I wanted to do PEF, but that seemed a bit more involved and didn't have the time to do it. Here's a GPU implementation for graph problems if anyone is interested: https://github.com/pgera/efg

What are some alternatives?

When comparing duckdb-pgq and efg you can also consider the following projects:

GCGT - Source code for the paper: GPU-based Compressed Graph Traversal

pisa - PISA: Performant Indexes and Search for Academia

ds2i - A library of inverted index data structures

nodevectors - Fastest network node embeddings in the west

Folly - An open-source C++ library developed and used at Facebook.

tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

duckdb-pgq vs GCGT efg vs GCGT efg vs pisa efg vs ds2i efg vs nodevectors efg vs Folly efg vs tantivy