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Neo4j is designed specifically for processing highly related data. It constructs a network structure through nodes (entities), relationships (connections), and properties (key - value pairs), directly mapping the complex associations in the real world (such as social networks and supply chains).
- Query Language:
- Cypher: A SQL - like declarative language that supports intuitive relationship queries.
- Enterprise - level Capabilities:
- ACID Transactions: Ensure data consistency.
- Distributed Architecture: The enterprise version supports high - availability clusters and causal clusters, while the community version is limited to single - machine deployment.
- Extension Tools:
- Graph Algorithm Library: Built - in algorithms such as shortest path and community discovery, enabling recommendation systems and risk prediction.
- APOC Plugin: Enhances data processing capabilities (requires the enterprise version or manual configuration).
The open - source image product Neo4j Graph Database provided by this project has Neo4j and its related runtime environment pre - installed and provides deployment templates. Come and refer to the usage guide to easily start an "out - of - the - box" and efficient experience!
System requirements are as follows:
- CPU: 2GHz or higher
- RAM: 4GB or larger
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Specification | Feature Description | Remarks |
|---|---|---|
| Neo4j-2025.06.0-kunpeng | Installed and deployed based on Kunpeng servers + Huawei Cloud EulerOS 2.0 64bit |
- For more questions, you can contact us via issue or the service support of the specified product in the Huawei Cloud Marketplace.
- For other open - source images, see [open - source - image - repos](https://github.com/HuaweiCloudDeveloper/open - source - image - repos)
- Fork this repository and submit a merge request.
- Synchronously update README.md based on your open - source image information.