GraphScope VS indradb

Compare GraphScope vs indradb and see what are their differences.

GraphScope

GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba (by alibaba)

indradb

A graph database written in rust (by indradb)
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GraphScope indradb
6 2
1,171 1,266
7.2% 1.9%
9.6 8.0
3 days ago 12 days ago
Rust Rust
Apache License 2.0 Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GraphScope

Posts with mentions or reviews of GraphScope. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-02.
  • GraphScope v0.6 Released: Code with Eager, Executive with Lazy
    1 project | news.ycombinator.com | 11 Aug 2021
  • GraphScope: A One-Stop Large-Scale Graph Computing System
    8 projects | news.ycombinator.com | 2 Feb 2021
    GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the vineyard store that offers efficient in-memory data transfers.

    We just released the version 0.2.0. And along with the release, we launched a public JupyterLab service where you can have a try in your browser: https://try.graphscope.app

    Github: https://github.com/alibaba/graphscope. (stars are welcome :)

    Website: https://graphscope.io

    Documentation: https://graphscope.io/docs

    Any comments and contributions from the community are welcomed!

    8 projects | news.ycombinator.com | 2 Feb 2021
    Thanks for you interests on GraphScope!

    We do have a concrete plan for k8s-less deployment and we already have an issue [1] to track that. That will be available before the end of March 2021.

    To simplify the environment setup process we will release a docker image for end-users, but without docker will be ok as well (requires building from sources).

    GraphScope use vineyard [2] as the storage layer for im-memory graph data structures. And current the graph type (aka. ArrowPropertyFragment in GraphScope) uses a set of arrow tables and arrays under the hood.

    GraphScope supports a `to_vineyard_dataframe` method on the computation context [3]. We also has a plan for integration between vineyard and dask (may could be delivered in March as well). At that time the interop between dask would be straightforward.

    [1]: https://github.com/alibaba/GraphScope/discussions/113

    [2]: https://github.com/alibaba/libvineyard

    [3]: https://graphscope.io/docs/reference/context.html#graphscope...

    8 projects | news.ycombinator.com | 2 Feb 2021
    2 projects | news.ycombinator.com | 2 Feb 2021
    GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the vineyard store that offers efficient in-memory data transfers.

    We just released the version 0.2.0. And along with the release, we launched a public JupyterLab service where you can have a try in your browser: https://try.graphscope.app

    Github: https://github.com/alibaba/graphscope. (stars are welcome :)

    2 projects | news.ycombinator.com | 2 Feb 2021

indradb

Posts with mentions or reviews of indradb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-20.

What are some alternatives?

When comparing GraphScope and indradb you can also consider the following projects:

oxigraph - SPARQL graph database

lungo - A MongoDB compatible embeddable database and toolkit for Go.

ArangoDB - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

MPAndroidChart - A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.

libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]

mongita - "Mongita is to MongoDB as SQLite is to SQL"

sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

mongodb-memory-server - Spinning up mongod in memory for fast tests. If you run tests in parallel this lib helps to spin up dedicated mongodb servers for every test file in MacOS, *nix, Windows or CI environments (in most cases with zero-config).

libgrape-lite - 🍇 A C++ library for parallel graph processing 🍇

squongo - document store on sqlite

parallel-disk-usage - Highly parallelized, blazing fast directory tree analyzer

euler - A distributed graph deep learning framework.