What is NebulaGraph Studio¶
NebulaGraph Studio (Studio in short) is a browser-based visualization tool to manage NebulaGraph. It provides you with a graphical user interface to manipulate graph schemas, import data, explore graph data, and run nGQL statements to retrieve data. With Studio, you can quickly become a graph exploration expert from scratch. Users can view the latest source code in the NebulaGraph GitHub repository, see nebula-studio for details.
Released versions¶
You can deploy Studio using the following methods:
- Docker-based. You can deploy Studio with Docker and connect it to NebulaGraph. For more information, see Docker-based Studio.
- RPM-based. You can deploy Studio with RPM and connect it to NebulaGraph. For more information, see RPM-based Studio.
- Tar-based. You can deploy Studio with tar and connect it to NebulaGraph. For more information, see tar-based Studio.
- Helm-based. You can deploy Studio with Helm in the Kubernetes cluster and connect it to NebulaGraph. For more information, see Helm-based Studio.
The functions of the above four deployment methods are the same and may be restricted when using Studio. For more information, see Limitations.
Features¶
Studio provides these features:
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Graphical user interface (GUI) makes NebulaGraph management more user-friendly:
- On the Schema page, you can manage schemas with a graphical user interface. It helps you quickly get started with NebulaGraph.
- On the Console page, you can run nGQL statements and read the results in a human-friendly way.
- On the Import page, you can operate batch import of vertex and edge data with clicks, and view a real-time import log.
- On the Explore page, you can explore the graph data. It helps you dig the relationships among data and improves the efficiency of data analysis.
Scenarios¶
You can use Studio in one of these scenarios:
- You have a dataset, and you want to explore and analyze data in a visualized way. You can use Docker Compose to deploy NebulaGraph and then use Studio to explore or analyze data in a visualized way.
- You have deployed NebulaGraph and imported a dataset. You want to use a GUI to run nGQL statements or explore and analyze graph data in a visualized way.
- You are a beginner of nGQL (NebulaGraph Query Language) and you prefer to use a GUI rather than a command-line interface (CLI) to learn the language.
Authentication¶
Authentication is not enabled in NebulaGraph by default. Users can log into Studio with the root account and any password.
When NebulaGraph enables authentication, users can only sign into Studio with the specified account. For more information, see Authentication.