kuzu
NetworkXum
| kuzu | NetworkXum | |
|---|---|---|
| 11 | 1 | |
| 1,052 | 11 | |
| 9.7% | - | |
| 9.9 | 10.0 | |
| 4 days ago | about 1 year ago | |
| C++ | Python | |
| MIT License | - |
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.
kuzu
- Unum: Vector Search engine in a single file
-
Building a New Database Management System in Academia
These two posts[2,3] explain where we are from and where we're going, if anyone is interested.
[1]: https://github.com/kuzudb/kuzu
-
Graph Database Community
Hi u/kyleireddit, I want to encourage you to try out KuzuDB: https://github.com/kuzudb/kuzu, which we are actively developing. One of our goals is to help educate developers more on where graph dbmss can offer value, so if you join our Slack channel and ask questions about graph dbmss and my students and I can answer some of your questions.
- Kùzu: an in-process property graph database management system (GDBMS)
-
Best free graph database for order of 500 million nodes
Then you can try Kùzu: https://github.com/kuzudb/kuzu. It should do quite well. We are new but actively developing the system and would love to help you when you are prototyping your application.
- KùzuDB – In-Memory Graph Database
-
PageRank Algorithm for Graph Databases
Not sqlite, but kuzu ( https://github.com/kuzudb/kuzu ) is an interesting project in this space. Fairly new, but already quite impressive IMHO.
-
CIDR 2023 Database Conference from Memgraph’s Perspective
I already mentioned Kùzu folks. They are doing an outstanding job of explaining what they do. Just follow their web 😀 They presented KùzuDB paper which brings interesting concepts to the graph query executions called factorization, S-Join and ASP-Join.
- Bullshit Graph Database Performance Benchmarks
- What Every Competent Graph DBMS Should Do
NetworkXum
-
PageRank Algorithm for Graph Databases
But now we just use a pure Graph implementation with NetworkX interface - UKV [2].
[1]: https://github.com/unum-cloud/networkxum
What are some alternatives?
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
django-dbbackup - Management commands to help backup and restore your project database and media files
SimSIMD - Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
helicalinsight - Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.
ustore - Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
simple-graph - This is a simple graph database in SQLite, inspired by "SQLite as a document database"
NetworkX - Network Analysis in Python
mutable - A Database System for Research and Fast Prototyping
sqlite3-bfsvtab-ext - A virtual table extension for breadth-first search queries in Sqlite3
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
dinamopy - Dinamopy is a python helper library for dynamodb. You can define your access patterns in a json file and can use dynamic method names to make operations.