NetworkXum
Apache AGE
| NetworkXum | Apache AGE | |
|---|---|---|
| 1 | 132 | |
| 11 | 2,695 | |
| - | 3.6% | |
| 10.0 | 8.9 | |
| about 1 year ago | 8 days ago | |
| Python | C | |
| - | Apache License 2.0 |
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.
NetworkXum
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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
Apache AGE
- Apache AGE: PostgreSQL Extension Graph Data Processing and Analytics
- Apache AGE: PostgreSQL Extension Graph Data Processing and Analytics for RDBMS
- Apache AGE supporting latest PostgreSQL (ver 16)
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Enhancing Fraud Detection with Apache AGE: A Graph Database Approach
For more information and support, visit the Apache AGE website. or github.
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Unlocking the Power of Apache Age: Advanced Techniques for SQL/Cypher Hybrid Queries
These are just a few examples of how you can use Cypher queries in SQL/Cypher Hybrid Queries. By using these advanced techniques, you can perform more complex and powerful queries on your graph data. Apache AGE offer a versatile and powerful platform for working with graph and relational data concurrentlyz. To learn more you can visit age website or github page.
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Mastering Graph Queries with Cypher in Apache Age
Cypher queries in Apache Age empower users to interact with graph data efficiently and intuitively. Whether you're creating nodes, establishing relationships, or performing complex traversals, Cypher provides a robust and expressive language for working with graph databases.As you explore Apache Age and Cypher further, you'll discover additional features and nuances that make graph database management a seamless experience. Embrace the power of graph queries, and unlock the full potential of your interconnected data with Apache Age. Happy graph querying!
- We built An Open-Source platform to process relational and Graph Query simultaneously
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Machine learning and graph databases
Check Apache AGE graph database system here: Website: https://age.apache.org/ GitHub: https://github.com/apache/age
- Is Open Sourcing Technologies Good for Society
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Open Source doesn't win by being cheaper
We are also open Source community at Apache https://github.com/apache/age
What are some alternatives?
kuzu - Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
surrealdb - A scalable, distributed, collaborative, document-graph database, for the realtime web
django-dbbackup - Management commands to help backup and restore your project database and media files
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
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.
node-bindgen - Easy way to write Node.js module using Rust
simple-graph - This is a simple graph database in SQLite, inspired by "SQLite as a document database"
age-viewer - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
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 🗄️
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API
sqlite3-bfsvtab-ext - A virtual table extension for breadth-first search queries in Sqlite3
neon - Rust bindings for writing safe and fast native Node.js modules.