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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
35 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.
Need 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. Heard about Graph RAG? Supercharge your LLM with our Resource Description Framework technology, making it easy to query and trust diverse data from different sources, while reducing 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.
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.
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/
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GraphAware Hume is a government-grade data analytics platform for fast, intuitive intelligence analysis. From the user interface to the database, GraphAware Hume is uniquely graph-based, showcasing the full power of Graph Database through code-free UIs. GraphAware Hume ingests and connects a wide range of structured and unstructured data sources to establish a single source of truth. Once the data is connected, analysts can seamlessly investigate multi-hop connections in a UI optimized for complex data exploration—without needing to learn a query language. By leveraging graph algorithms and large language models (LLMs), intelligence analysts can make more accurate predictions from network data, while automated alerts ensure they never miss critical insights. GraphAware Hume transforms how your organization’s teams collaborate, bringing them together around data. This enables secure sharing of intelligence and unlocks valuable insights.
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.
Ultipa Graph Database is the world's first and only 4th-generation graph DBMS with ultra-high performance, capable of micro-second query processing, deep-traversal, flexible schema design and data modelings. Numerous killerapp solutions have been built on top of Ultipa Graph DBMS, including but not limited to Advanced Analytics & Business Intelligence, Real-time Decision Making & Fraud-Detection, Data Governance, Asset Liability Management, Liquidity Risk Management, and more. Ultipa invents unique MPP-HTAP architecture to offer unprecedented data processing capabilities with lower TCO, 70% smaller cluster size and carbon footprint, and much faster time-to-value/market. Ultipa Graph DBMS has been deployed with some of the world's largest commercial and retail banks, insurance companies, stock exchanges, regulatory bodies, and smart enterprises.
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.