[{"data":1,"prerenderedAt":897},["ShallowReactive",2],{"1GZB0dKtNQ":3,"eKy7IwuLGr":59,"I0fx4WtnWI":131,"9trKdP2wkm":139,"JTbsVffizJ":744,"_apollo:default":896},{"post":4},{"id":5,"elementorData":6,"content":7,"layout":8,"title":9,"date":10,"featuredImage":11,"categories":16,"seo":23,"__typename":58},"cG9zdDozMTY0NQ==","[{\"id\":\"7fec432\",\"elType\":\"section\",\"settings\":{\"pp_animated_gradient_bg_color_list\":[{\"pp_animated_gradient_bg_color\":\"#F6AD1F\",\"_id\":\"5ebdaea\"},{\"pp_animated_gradient_bg_color\":\"#F7496A\",\"_id\":\"0fb1ba2\"},{\"pp_animated_gradient_bg_color\":\"#565AD8\",\"_id\":\"923a303\"}],\"pp_display_conditions\":[{\"_id\":\"d1ab9d9\"}]},\"elements\":[{\"id\":\"615360b\",\"elType\":\"column\",\"settings\":{\"_column_size\":100,\"_inline_size\":null,\"pp_display_conditions\":[{\"_id\":\"fe12492\"}]},\"elements\":[{\"id\":\"56fec3b\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">\u003Ca href=\\\"\\/decision-intelligence-platform-overview\\/\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">Linkurious Decision Intelligence Platform\u003C\\/a> is now compatible with Google BigQuery Graph via a native connector. Already compatible with \u003Ca href=\\\"\\/blog\\/linkurious-spanner-bring-graph-analytics-and-visualization\\/\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">Google Spanner Graph\u003C\\/a>, organizations using Google BigQuery can now also visually explore their data directly within Linkurious software, without any additional infrastructure or data pipeline.\u003C\\/span>\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"101b1d6\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"}],\"isInner\":false}],\"isInner\":false},{\"id\":\"99109e3\",\"elType\":\"section\",\"settings\":{\"pp_animated_gradient_bg_color_list\":[{\"pp_animated_gradient_bg_color\":\"#F6AD1F\",\"_id\":\"0a08a10\"},{\"pp_animated_gradient_bg_color\":\"#F7496A\",\"_id\":\"c25a59a\"},{\"pp_animated_gradient_bg_color\":\"#565AD8\",\"_id\":\"d7c1ffb\"}],\"pp_display_conditions\":[{\"_id\":\"80285ac\"}]},\"elements\":[{\"id\":\"bb8e9bd\",\"elType\":\"column\",\"settings\":{\"_column_size\":100,\"_inline_size\":null,\"pp_display_conditions\":[{\"_id\":\"484da80\"}]},\"elements\":[{\"id\":\"1a7782d\",\"elType\":\"widget\",\"settings\":{\"title\":\"Why Google BigQuery Graph matters\\n\",\"pp_display_conditions\":[{\"_id\":\"c533059\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"f066e7f\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">Google BigQuery is where many data teams already work. It's where the data lives, where the pipelines run, where numerous analysts spend their days to run large analytical workloads.\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">Organizations can now bring graphs to BigQuery data. With \u003Ca href=\\\"https:\\/\\/docs.cloud.google.com\\/bigquery\\/docs\\/graph-overview\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">Google BigQuery Graph\u003C\\/a>, you can define and query hundreds of millions to billions of nodes and edges natively, without moving data to a specialized graph database or building complex ETL pipelines.\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">What's more, native integration between Spanner Graph and BigQuery Graph enables you to combine operational and historical data into a single virtual graph \\u2014 without moving data out of either system. Graph analytics now lives fully where the data already is.\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">For many data and analytics teams, this removes the biggest historical barrier to graph adoption: the need for a dedicated graph database and the expertise to run it.\u003C\\/span>\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"94d6974\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"},{\"id\":\"db55095\",\"elType\":\"widget\",\"settings\":{\"title\":\"Linkurious connector: Helping BigQuery users uncover new insights\",\"pp_display_conditions\":[{\"_id\":\"8472240\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"ee8864e\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">While Google BigQuery Graph makes it possible to build and query property graphs at data warehouse scale for analytical workloads on historical data, Linkurious helps all types of users make sense of it.\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">With Linkurious, data scientists, analysts, investigators, and business users can visually navigate millions of data points, easily analyze direct and indirect relationships, surface complex patterns, and uncover insights that would otherwise remain hidden in tabular views.\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">With this connector, BigQuery Graph users can:\u003C\\/span>\u003C\\/p>\u003Cul>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Visually navigate their BigQuery data as a graph\u003C\\/b>\u003Cspan style=\\\"font-weight: 400;\\\">, exploring millions of interconnected nodes and edges via an intuitive, interactive graph visualization interface designed for both technical and non technical-users.\\u00a0\u003C\\/span>\u003C\\/li>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Uncover complex hidden patterns and relationships\u003C\\/b>\u003Cspan style=\\\"font-weight: 400;\\\"> across entities in minutes instead of days using \u003Ca href=\\\"\\/blog\\/no-code-query-builder\\/\\\">no-code query builder\u003C\\/a> or \u003Ca href=\\\"\\/blog\\/query-ai-graph-data-natural-language\\/\\\">Query AI\u003C\\/a>, and transforming advanced queries into alerts or buttons. \u003C\\/span>\u003C\\/li>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Run investigations collaboratively\u003C\\/b> in the Linkurious shared workspace.\u003C\\/li>\u003C\\/ul>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">\\u201cWe are excited about BigQuery Graph\\u2019s partnership with Linkurious, which brings intuitive visualization and decision intelligence directly to our users to democratize graph adoption at scale. Our customers can now leverage the massive analytical power of BigQuery to query complex relationships without moving their data, using Linkurious\\u2019s no-code interface to turn those results into actionable insights for investigators and analysts alike.\\u201d\u003C\\/span> \u003Cspan style=\\\"font-weight: 400;\\\">says Candice Chen, Product Manager, Google Cloud.\u003C\\/span>\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"00aa73e\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"},{\"id\":\"1229a56\",\"elType\":\"widget\",\"settings\":{\"title\":\"What you can do with Linkurious on BigQuery Graph\\n\",\"pp_display_conditions\":[{\"_id\":\"cba229b\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"757444f\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">With Linkurious, your teams can explore Google BigQuery data visually. An analyst can open a graph workspace, search for an entity, and start navigating its connections the same way they would browse a map.\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">In practice, this unlocks a range of use cases:\u003C\\/span>\u003C\\/p>\u003Cul>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Financial crime, fraud and AML:\u003C\\/b>\u003Cspan style=\\\"font-weight: 400;\\\"> Fraud rings, money mule networks, UBO identification, PEP\\/sanctions risks become visible when you stop looking at rows and start looking at connections.\u003C\\/span>\u003C\\/li>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Cybersecurity: \u003C\\/b>\u003Cspan style=\\\"font-weight: 400;\\\">From threat analysis to incident response, actionable insights depend on connecting systems, data, and attackers at scale. Connect what others analyze separately and understand cyber risk faster.\\u00a0\u003C\\/span>\u003C\\/li>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Supply chain risk:\u003C\\/b>\u003Cspan style=\\\"font-weight: 400;\\\"> Multi-tier supplier relationships are hard to reason about in tables. As a graph, you can immediately see hidden dependencies and spot risk early.\\u00a0\u003C\\/span>\u003C\\/li>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Network & IT:\u003C\\/b>\u003Cspan style=\\\"font-weight: 400;\\\"> Get a unified, connected view of data, networks, and systems to help you with impact analysis, dependency mapping, and more.\u003C\\/span>\u003C\\/li>\u003Cli style=\\\"font-weight: 400;\\\" aria-level=\\\"1\\\">\u003Cb>Enterprise knowledge graphs:\u003C\\/b>\u003Cspan> BigQuery Graph enables you to turn documents, contracts, internal wikis, and reports into a structured, explorable web of information. Make your knowledge graph usable and searchable for your teams so they can uncover insights, validate connections, and turn models into decisions.\u003C\\/span>\u003C\\/li>\u003C\\/ul>\",\"pp_display_conditions\":[{\"_id\":\"6a8f52a\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"},{\"id\":\"da27cf4\",\"elType\":\"widget\",\"settings\":{\"title\":\"Graph is becoming infrastructure\\n\",\"pp_display_conditions\":[{\"_id\":\"866c476\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"1c06292\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">The launch of Google BigQuery Graph is part of a broader trend. Graph capabilities are increasingly being embedded directly into mainstream data infrastructure (data warehouses, transactional databases, analytical platforms) rather than existing in separate systems.\u003C\\/span>\u003C\\/p>\\n\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">This reflects something fundamental: data has relationships, and those relationships carry meaning that tables and rows alone cannot surface. As AI applications become more deeply embedded in enterprise workflows, the ability to navigate connected data is fast becoming a foundational requirement, no longer a niche capability for a handful of technical users.\u003C\\/span>\u003C\\/p>\\n\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">\\u201cGoogle Spanner Graph was the signal. BigQuery Graph confirms graphs are going mainstream.\\u201d says S\\u00e9bastien Heymann, Co-founder of Linkurious. \\u201cFor years, graph analytics required specialized databases, data experts, and a lot of patience. That's changing fast. Organizations can now build and query graphs with Google BigQuery. Linkurious makes sure the people who need those insights can actually access them. We're here to close that last mile.\\u201d\u003C\\/span>\u003C\\/p>\\n\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">At Linkurious, we have spent over a decade building intuitive and user-friendly graph visualization and analytics software that makes graph data accessible by the people who actually need it. The expansion of our connectors to cover Google BigQuery Graph is a direct extension of that mission: wherever graph data lives, Linkurious should make it visible, meaningful and useful.\u003C\\/span>\u003C\\/p>\\n\u003Cp>\u003Cspan style=\\\"font-weight: 400;\\\">The Google BigQuery Graph connector is available starting with Linkurious Enterprise v4.3.3. If you're already running graph data in BigQuery or need more information, \u003C\\/span>\u003Ca href=\\\"https:\\/\\/linkurious.com\\/contact\\/\\\">\u003Cspan style=\\\"font-weight: 400;\\\">get in touch\u003C\\/span>\u003C\\/a> with us\u003Cspan style=\\\"font-weight: 400;\\\">. \u003C\\/span>\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"fa74685\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"}],\"isInner\":false}],\"isInner\":false}]","\t\t\u003Cdiv data-elementor-type=\"wp-post\" data-elementor-id=\"31645\" class=\"elementor elementor-31645\">\n\t\t\t\t\t\t\u003Csection class=\"elementor-section elementor-top-section elementor-element elementor-element-7fec432 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7fec432\" data-element_type=\"section\">\n\t\t\t\t\t\t\u003Cdiv class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\u003Cdiv class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-615360b\" data-id=\"615360b\" data-element_type=\"column\">\n\t\t\t\u003Cdiv class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\n\t\t\u003Cdiv class=\"elementor-element elementor-element-56fec3b elementor-widget elementor-widget-text-editor\" data-id=\"56fec3b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp>\u003Cspan style=\"font-weight: 400;\">\u003Ca href=\"/decision-intelligence-platform-overview/\" target=\"_blank\" rel=\"noopener\" class=\"broken_link\">Linkurious Decision Intelligence Platform\u003C/a> is now compatible with Google BigQuery Graph via a native connector. Already compatible with \u003Ca href=\"/blog/linkurious-spanner-bring-graph-analytics-and-visualization/\" target=\"_blank\" rel=\"noopener\" class=\"broken_link\">Google Spanner Graph\u003C/a>, organizations using Google BigQuery can now also visually explore their data directly within Linkurious software, without any additional infrastructure or data pipeline.\u003C/span>\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\t\u003C/div>\n\t\t\u003C/div>\n\t\t\t\t\t\u003C/div>\n\t\t\u003C/section>\n\t\t\t\t\u003Csection class=\"elementor-section elementor-top-section elementor-element elementor-element-99109e3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"99109e3\" data-element_type=\"section\">\n\t\t\t\t\t\t\u003Cdiv class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\u003Cdiv class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bb8e9bd\" data-id=\"bb8e9bd\" data-element_type=\"column\">\n\t\t\t\u003Cdiv class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-1a7782d elementor-widget elementor-widget-heading\" data-id=\"1a7782d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">Why Google BigQuery Graph matters\n\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-f066e7f elementor-widget elementor-widget-text-editor\" data-id=\"f066e7f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp>\u003Cspan style=\"font-weight: 400;\">Google BigQuery is where many data teams already work. It’s where the data lives, where the pipelines run, where numerous analysts spend their days to run large analytical workloads.\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-weight: 400;\">Organizations can now bring graphs to BigQuery data. With \u003Ca href=\"https://docs.cloud.google.com/bigquery/docs/graph-overview\" target=\"_blank\" rel=\"noopener\">Google BigQuery Graph\u003C/a>, you can define and query hundreds of millions to billions of nodes and edges natively, without moving data to a specialized graph database or building complex ETL pipelines. \u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-weight: 400;\">What’s more, native integration between Spanner Graph and BigQuery Graph enables you to combine operational and historical data into a single virtual graph — without moving data out of either system. Graph analytics now lives fully where the data already is.\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-weight: 400;\">For many data and analytics teams, this removes the biggest historical barrier to graph adoption: the need for a dedicated graph database and the expertise to run it.\u003C/span>\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-db55095 elementor-widget elementor-widget-heading\" data-id=\"db55095\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">Linkurious connector: Helping BigQuery users uncover new insights\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-ee8864e elementor-widget elementor-widget-text-editor\" data-id=\"ee8864e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp>\u003Cspan style=\"font-weight: 400;\">While Google BigQuery Graph makes it possible to build and query property graphs at data warehouse scale for analytical workloads on historical data, Linkurious helps all types of users make sense of it. \u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-weight: 400;\">With Linkurious, data scientists, analysts, investigators, and business users can visually navigate millions of data points, easily analyze direct and indirect relationships, surface complex patterns, and uncover insights that would otherwise remain hidden in tabular views. \u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-weight: 400;\">With this connector, BigQuery Graph users can:\u003C/span>\u003C/p>\u003Cul>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Visually navigate their BigQuery data as a graph\u003C/b>\u003Cspan style=\"font-weight: 400;\">, exploring millions of interconnected nodes and edges via an intuitive, interactive graph visualization interface designed for both technical and non technical-users. \u003C/span>\u003C/li>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Uncover complex hidden patterns and relationships\u003C/b>\u003Cspan style=\"font-weight: 400;\"> across entities in minutes instead of days using \u003Ca href=\"/blog/no-code-query-builder/\" class=\"broken_link\">no-code query builder\u003C/a> or \u003Ca href=\"/blog/query-ai-graph-data-natural-language/\" class=\"broken_link\">Query AI\u003C/a>, and transforming advanced queries into alerts or buttons. \u003C/span>\u003C/li>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Run investigations collaboratively\u003C/b> in the Linkurious shared workspace.\u003C/li>\u003C/ul>\u003Cp>\u003Cspan style=\"font-weight: 400;\">“We are excited about BigQuery Graph’s partnership with Linkurious, which brings intuitive visualization and decision intelligence directly to our users to democratize graph adoption at scale. Our customers can now leverage the massive analytical power of BigQuery to query complex relationships without moving their data, using Linkurious’s no-code interface to turn those results into actionable insights for investigators and analysts alike.”\u003C/span> \u003Cspan style=\"font-weight: 400;\">says Candice Chen, Product Manager, Google Cloud.\u003C/span>\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-1229a56 elementor-widget elementor-widget-heading\" data-id=\"1229a56\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">What you can do with Linkurious on BigQuery Graph\n\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-757444f elementor-widget elementor-widget-text-editor\" data-id=\"757444f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp>\u003Cspan style=\"font-weight: 400;\">With Linkurious, your teams can explore Google BigQuery data visually. An analyst can open a graph workspace, search for an entity, and start navigating its connections the same way they would browse a map.\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-weight: 400;\">In practice, this unlocks a range of use cases:\u003C/span>\u003C/p>\u003Cul>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Financial crime, fraud and AML:\u003C/b>\u003Cspan style=\"font-weight: 400;\"> Fraud rings, money mule networks, UBO identification, PEP/sanctions risks become visible when you stop looking at rows and start looking at connections.\u003C/span>\u003C/li>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Cybersecurity: \u003C/b>\u003Cspan style=\"font-weight: 400;\">From threat analysis to incident response, actionable insights depend on connecting systems, data, and attackers at scale. Connect what others analyze separately and understand cyber risk faster. \u003C/span>\u003C/li>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Supply chain risk:\u003C/b>\u003Cspan style=\"font-weight: 400;\"> Multi-tier supplier relationships are hard to reason about in tables. As a graph, you can immediately see hidden dependencies and spot risk early. \u003C/span>\u003C/li>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Network & IT:\u003C/b>\u003Cspan style=\"font-weight: 400;\"> Get a unified, connected view of data, networks, and systems to help you with impact analysis, dependency mapping, and more.\u003C/span>\u003C/li>\u003Cli style=\"font-weight: 400;\" aria-level=\"1\">\u003Cb>Enterprise knowledge graphs:\u003C/b>\u003Cspan> BigQuery Graph enables you to turn documents, contracts, internal wikis, and reports into a structured, explorable web of information. Make your knowledge graph usable and searchable for your teams so they can uncover insights, validate connections, and turn models into decisions.\u003C/span>\u003C/li>\u003C/ul>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-da27cf4 elementor-widget elementor-widget-heading\" data-id=\"da27cf4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">Graph is becoming infrastructure\n\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-1c06292 elementor-widget elementor-widget-text-editor\" data-id=\"1c06292\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp>\u003Cspan style=\"font-weight: 400;\">The launch of Google BigQuery Graph is part of a broader trend. Graph capabilities are increasingly being embedded directly into mainstream data infrastructure (data warehouses, transactional databases, analytical platforms) rather than existing in separate systems.\u003C/span>\u003C/p>\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">This reflects something fundamental: data has relationships, and those relationships carry meaning that tables and rows alone cannot surface. As AI applications become more deeply embedded in enterprise workflows, the ability to navigate connected data is fast becoming a foundational requirement, no longer a niche capability for a handful of technical users.\u003C/span>\u003C/p>\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">“Google Spanner Graph was the signal. BigQuery Graph confirms graphs are going mainstream.” says Sébastien Heymann, Co-founder of Linkurious. “For years, graph analytics required specialized databases, data experts, and a lot of patience. That’s changing fast. Organizations can now build and query graphs with Google BigQuery. Linkurious makes sure the people who need those insights can actually access them. We’re here to close that last mile.”\u003C/span>\u003C/p>\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">At Linkurious, we have spent over a decade building intuitive and user-friendly graph visualization and analytics software that makes graph data accessible by the people who actually need it. The expansion of our connectors to cover Google BigQuery Graph is a direct extension of that mission: wherever graph data lives, Linkurious should make it visible, meaningful and useful.\u003C/span>\u003C/p>\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">The Google BigQuery Graph connector is available starting with Linkurious Enterprise v4.3.3. If you’re already running graph data in BigQuery or need more information, \u003C/span>\u003Ca href=\"https://linkurious.com/contact/\">\u003Cspan style=\"font-weight: 400;\">get in touch\u003C/span>\u003C/a> with us\u003Cspan style=\"font-weight: 400;\">. \u003C/span>\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\t\u003C/div>\n\t\t\u003C/div>\n\t\t\t\t\t\u003C/div>\n\t\t\u003C/section>\n\t\t\t\t\u003C/div>\n\t\t","","Linkurious brings graph visualization and analytics to Google BigQuery Graph","2026-05-04T04:01:00",{"node":12,"__typename":15},{"sourceUrl":13,"__typename":14},"/images/uploads/2025/04/Google-announcement-blog-post-v1.png","MediaItem","NodeWithFeaturedImageToMediaItemConnectionEdge",{"nodes":17,"__typename":22},[18],{"name":19,"slug":20,"__typename":21},"Linkurious 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rel=\"canonical\" href=\"https://wordpress-website.wordpress.k8s.preprod.linkurious.net/blog/linkurious-google-bigquery-graph-visualization/\" />\n\u003Cmeta property=\"og:locale\" content=\"en_US\" />\n\u003Cmeta property=\"og:type\" content=\"article\" />\n\u003Cmeta property=\"og:title\" content=\"Linkurious brings graph visualization and analytics to Google BigQuery Graph\" />\n\u003Cmeta property=\"og:description\" content=\"Linkurious now connects natively to BigQuery Graph, letting data and analytics teams visually explore property graphs and knowledge graphs built in Google's cloud data warehouse.\" />\n\u003Cmeta property=\"og:url\" content=\"https://wordpress-website.wordpress.k8s.preprod.linkurious.net/blog/linkurious-google-bigquery-graph-visualization/\" />\n\u003Cmeta property=\"og:site_name\" content=\"Linkurious\" />\n\u003Cmeta property=\"article:tag\" content=\"featured\" />\n\u003Cmeta property=\"article:section\" content=\"Linkurious Platform\" />\n\u003Cmeta 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