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  • Surveying the Graph Engines Terrain

    Surveying the Graph Engines Terrain

    Graph Engines: the layer where graph-shaped computation runs over your existing systems instead of inside a new database of its own. Graph engines turn warehouses, relational databases, event streams, and application platforms into graph-native environments, projecting nodes and relationships on the fly so you can ask graph questions without rebuilding your stack. This catalog…

  • GraphAI as the Emerging Frontier on the Graph World Map

    GraphAI as the Emerging Frontier on the Graph World Map

    State of the Graph is mapping a new frontier: how graphs are being used inside AI systems.  GraphAI is the category where graph structure stops being passive infrastructure and starts doing active work, shaping what models retrieve, what agents remember, and what machine learning algorithms learn. That shift is the unifying logic of this…

  • Charting the Graph Frontier with Graph Visualization

    Charting the Graph Frontier with Graph Visualization

    Graphs are how we see structure in messy, connected data: people and their relationships, systems and dependencies, concepts and citations. The landscape of graph visualization tooling is sprawling, ranging from ready‑to‑use graph apps and platforms to tiny JavaScript libraries you can drop into a single page. The global data visualization tools market size was…

  • Mapping the Knowledge Graph Continent

    Mapping the Knowledge Graph Continent

    State of the Graph is continuing its tour of the ecosystem with a first deep dive into the Knowledge Graphs category. Knowledge graphs organize information as a network of entities and relationships, often with semantic meaning, so systems can work with connected context rather than isolated records. The Knowledge Graph market is estimated to…

  • Exploring the Graph Database Landscape

    Exploring the Graph Database Landscape

    State of the Graph is continuing its world tour with one of the most visible parts of the ecosystem: Graph Databases. Graph databases are where graph theory becomes a living system: a place to store, query, and analyze entities and their relationships at scale. They power use cases such as real‑time recommendations, fraud and…

  • Navigating the Graph Analytics Map

    Navigating the Graph Analytics Map

    State of the Graph is kicking off with its first published category: Graph Analytics. We navigate the Graph Analytics Map Graph analytics tools use graph queries and algorithms to uncover patterns and relationships in connected data, enabling use cases from network security and fraud detection to BI, retail, and social networks. Graph analytics sits…

  • 2025 State of the Graph Survey: Adoption and Gaps

    2025 State of the Graph Survey: Adoption and Gaps

    Between November 2025 and January 2026, we conducted the first “State of the Graph” community survey to understand who is using graph technology today, how they use it, and where they need the most support.  The early results point to a clear pattern: knowledge graphs and graph databases are driving adoption, but guidance and…

  • The 7 Continents of the Graph Stack​

    The 7 Continents of the Graph Stack​

    Graph technology has grown into a rich, multi-layered ecosystem, but the landscape can feel fragmented when trying to understand how all the pieces fit together. The State of the Graph organizes this complexity into seven clear categories, creating a shared map for anyone building, evaluating, or investing in graph-powered solutions.​ Why these 7 categories…

  • Introducing State of the Graph

    Introducing State of the Graph

    Over the past two decades, graph technology has grown from a niche to a multibillion‑dollar market, accelerating in lockstep with AI. As the field expands, it’s getting harder to keep track of the full spectrum of vendors, categories, and innovations across the ecosystem. The State of the Graph exists to close that gap: a…