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A high performance distributed Graph Database

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A distributed, scalable, lighting-fast graph database
build and test workflow build docker image workflow make nebula packages workflow

Nebula

Nebula is the only solution in the world capable of hosting graphs with dozens of billions of vertices (nodes) and trillions of edges, while still only having milliseconds of latency.

Nebula's goal is to provide reading, writing, and computing with high concurrency and low latency for super large scale graphs. Nebula is an open source project and we are looking forward to working with the community to popularize and promote the graph database.

As a graph database, Nebula has these features

  • Symmetrically distributed
  • Highly scalable
  • Fault tolerant
  • Strong data consistency
  • SQL-like query language

How can I get Nebula

Apart from installing from source code, you can use the docker image and develop.

How to use Nebula

See manual or download the pdf.

How can I contribute

As the team behind Nebula, we fully commit to the community and all-in to the open source project. All the core features are and will be implemented in the open source repository.

We also encourage the community to be involved in the project. There are a few ways you can contribute:

  • You can download and try Nebula, and provide us feedbacks
  • You can submit your feature requirements and bug reports
  • You can improve documentation
  • You can fix bugs or implement features. More details on how to build the project and submit the Pull Requests click how-to-contribute.

Licensing

Nebula is under Apache 2.0 license, so you can freely download, modify, and deploy the source code to meet your needs. You can also freely deploy Nebula as a back-end service to support your SaaS deployment.

In order to prevent cloud providers monetizing from the project without contributing back, we added Commons Clause 1.0 to the project. As mentioned above, we fully commit to the open source community. We would love to hear your thoughts on the licensing model and are willing to make it more suitable for the community.

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