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Software used to represent data using graph structures with edges, nodes, and properties. - Use queries to locate and pull data - Create topographic models for data storage and visualization - Manage enterprise metadata to quickly show relationships between data points
34 results
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, with Neo4j’s full graph stack and a vibrant community of developers, data scientists and architects across hundreds of Fortune 500 companies.
AgensGraph is a multi-model database solution developed by integrating relational databases and graph databases. It has a multi-model database architecture that can be integrated into one query, so existing RDB users can use it without migration risk. AgensGraph will analyze and visualize graph database via AgensBrowser.
Ned to ask natural language queries about your data? Ask about our “Talk to your Graph” connector, an LLM backed chatbot that works with knowledge graphs. Our solution, GraphDB, powers business-critical systems in the most knowledge-intensive enterprises in financial services, publishing, healthcare, pharma, manufacturing, retail and public sectors. Our RDF technology makes it easy to query diverse data from different sources and reduces data integration and data management costs. We enable a variety of benefits including high scalability, multiple inference profiles, full standards compliance, extensions for geo-spatial querying, RDF Rank for graph analytics, plugins for 3rd party extensions, connectors to full-text search engines, and a high-availability cluster. The most robust Resource Description Framework database for building Semantic Knowledge Graphs, GraphDB links diverse data, indexes for semantic search and enriches via text analysis to build enterprise level graphs.
ArangoDB is the highest-rated graph database, enabling you to uncover insights in your data that are impossible with traditional SQL or document databases. It combines the analytical power of graph networks with JSON documents, key-value stores, and full-text search, enabling software engineering, machine learning, and product development teams to access and combine all of these data models with a single declarative query language. It is the scalable backbone for graph analytics and complex data architectures for thousands of Fortune 500 enterprises and innovative startups across many different industries, including financial services, healthcare, and telecommunications. Founded in Cologne, Germany, in 2015, ArangoDB Inc. is a venture-backed company headquartered in San Francisco, California, with offices and employees worldwide. Learn more at arangodb.com.
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Anzo is a complete knowledge graph platform built on a high-performance graph database engine, called AnzoGraph, that uses an in-memory MPP processing paradigm to execute queries against datasets extremely quickly, enabling agile data integration, transformation, and analytics at enterprise scale. Anzo leverages standards including W3C’s RDF, OWL, SKOS, and SPARQL to combine knowledge graphs of metadata and data which can be powerfully explored, transformed and analyzed, while also ensuring open data interoperability and easy integration with other systems. Anzo is an open overlay platform that allows users to assemble knowledge graphs against the underlying data resources without displacing or disrupting existing processes or platforms. Anzo integrates with enterprise metadata, governance, security controls and policies, and includes APIs for lights-out integration into other processes.
The high-performance in-memory knowledge graph and semantic reasoner.
ArangoDB Community Edition is an open-source graph database using an Apache version 2 license. It is supported by a large, active open source community with over 12,000 stargazers on GitHub. In addition to graphs, ArangoDB natively supports additional data models, including JSON documents and key-value. It also includes ArangoSearch, full-text search engine including similarity ranking capabilities integrated into ArangoDB. ArangoDB Query Language (AQL) is a declarative query language that ties all these data models together with a broad range of access patterns, including traversals, joins, search, and geospatial. Download Community Edition at www.arangodb.com/download-major/
Build and manage your Enterprise Knowledge Graph with this feature-rich platform. This Integrated Development Environment includes workspaces for queries, data modeling, data virtualization, data exploration, graph visualizations, and more. Use for data fabric creation, analytics modernization, data lake/warehouse acceleration, semantic search, and more.