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libvineyard reviews and mentions
GraphScope: A One-Stop Large-Scale Graph Computing System
8 projects | news.ycombinator.com | 2 Feb 2021
The graphs on GraphScope is backed by vineyard (https://github.com/alibaba/libvineyard). And that enables GraphScope to have multiple specifically optimized runtimes (written in C++, rust and Python) for different tasks shares the distributed graph data in memory efficiently.8 projects | news.ycombinator.com | 2 Feb 2021
It makes sense to run such tasks in other machines/systems without adding too much burden to a graph db to avoid affect its quality of service.
2. Fully integration with Python makes it more flexible to do data analytics. For example, you can leverage the ability provided by numpy, pandas and mars (https://github.com/mars-project/mars) along GraphScope with zero-copy thanks to our storage engine vineyard (https://github.com/alibaba/libvineyard)
3. Besides distributed processing, extra performance can also come from the efficient graph layout in memory, and other optimizations on the compiler and runtime-level. GraphScope is ~100x faster on Gremlin, and even more on graph analytical algorithms like PageRank, compared with graph dbs like JanusGraph.
Vineyard: An open-source in-memory data manager
3 projects | news.ycombinator.com | 19 Jan 2021
6. Kubernetes-integration for large-scale big data applications
Github: https://github.com/alibaba/libvineyard (s are welcomed!)3 projects | news.ycombinator.com | 19 Jan 2021
alibaba/libvineyard is an open source project licensed under Apache License 2.0 which is an OSI approved license.