G.V()는 Spanner Graph와 상호작용하는 데이터베이스 클라이언트입니다. G.V()를 사용하면 Spanner Graph 쿼리 결과의 시각화를 만들어 그래프 데이터에 관해 알아볼 수 있습니다. 노코드 그래프 데이터 탐색기를 사용하여 그래프 데이터를 검색하고 수정할 수 있습니다. 자세한 내용은 G.V() 문서를 참조하세요.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-05-15(UTC)"],[],[],null,["# Spanner Graph visualization tools and integrations\n\nThe notebook and third-party tools listed on this page are integrated with\nSpanner Graph. These tools let you see a visualization of a\nSpanner Graph query result, providing more ways, outside the\nGoogle Cloud console.\n\nSpanner Graph notebook\n----------------------\n\nThe\n[Spanner Graph notebook](https://github.com/cloudspannerecosystem/spanner-graph-notebook)\ntool is an open-source visualization package that you run in notebook tools like\nColaboratory and Jupyter Notebooks. The tool provides a similar user experience\nto\n[Spanner Studio graph visualization](/spanner/docs/graph/work-with-visualizations).\n\nG.V()\n-----\n\n[G.V()](https://gdotv.com/) is a database client that interacts with\nSpanner Graph. G.V() can create visualizations of your Spanner Graph\nquery results to help you learn about your graph data. You can use the no-code\nGraph Data Explorer to search and modify your graph data. Visit the\n[G.V() documentation](https://gdotv.com/google-cloud-spanner-graph-visualization-tool/)\nto learn more.\n\nGraphistry\n----------\n\n[Graphistry](https://www.graphistry.com/about-us) with\n[Loiue.ai](http://Louie.ai) uses Spanner Graph distributed architecture to\nprovide GPU-accelerated graph visualization and analytics with AI-powered\nreasoning. This integration lets you explore relationships and anomalies within\nhigh-scale, connected datasets. For more information, see\n[Graphistry and Google Spanner Graph](https://www.graphistry.com/blog/graphistry-google-spanner-graph-partnership-launch).\nTo try out this integration, see the\n[Python Graphistry and Spanner Graph demo notebook](https://github.com/graphistry/pygraphistry/blob/master/demos/demos_databases_apis/spanner/google_spanner_finance_graph.ipynb).\n\nKineviz\n-------\n\n[Kineviz GraphXR](https://www.kineviz.com/graphxr), integrated with Spanner Graph, lets you analyze complex, large-scale data with graph data exploration and AI-powered data insights. For more information,\nsee\n[Get started with Kinevis GraphXR and Spanner Graph](https://www.kineviz.com/spannergraph).\n\nLinkurious\n----------\n\n[Linkurious Enterprise](https://linkurious.com/) integrates with\nSpanner Graph to offer enterprise-ready graph visualization. You can use the\nno-code interface to explore complex data by visualizing millions of\ninterconnected data points in Spanner Graph, set up real-time alerts, and\ncollaborate in the Linkurious workspace. For more information, see the\n[Linkurious Decision Intelligence Platform](https://linkurious.com/decision-intelligence-platform-overview/)\nor the [Linkurious documentation](https://doc.linkurious.com/).\n\nReGraph\n-------\n\n[ReGraph](https://cambridge-intelligence.com/regraph/) is integrated with\nSpanner Graph to provide graph visualization capabilities for your web\napplications. ReGraph lets you build interactive, high-performance graph\nvisualizations that can handle large datasets with complex connections stored in\nSpanner Graph. For more information, see\n[Spanner Graph and ReGraph: how to build a cybersecurity app](https://cambridge-intelligence.com/google-cloud-spanner-and-regraph/).\n\nWhat's next\n-----------\n\n- Learn how to [set up and query Spanner Graph](/spanner/docs/graph/set-up).\n- Learn about [Spanner Graph queries](/spanner/docs/graph/queries-overview).\n- Learn how to [work with Spanner Graph visualizations](/spanner/docs/graph/work-with-visualizations).\n- [Migrate to Spanner Graph](/spanner/docs/graph/migrate)."]]
