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About Us Mission Statement ArangoDB empowers businesses to transform complex data into actionable insights with a uniquely flexible, scalable, and user-friendly graph database while adhering to the highest performance, security, and integrity standards. Vision Today’s business climate is indeed challenging. Organizations that emerge stronger will be those that unlock untapped value from their data. Graph…
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Advanced Geospatial Revolutionize Your Spatial Queries: ArangoDB Outpaces Legacy Graph DB Vendors in Delivering Unrivaled Graph Geospatial Proficiency and Versatility “We use ArangoDB for storing and processing of geo locations (i.e., beacons, router, GPS information), storing and sending notifications, and processing campaigns. We even run the proximity based algorithm on ArangoDB to decide which notification…
More InfoGraph Traversals
Graph Traversals Effortlessly Explore Complex Relationships with ArangoDB’s Advanced Graph Traversal: Uncover Patterns, Analyze Networks, and Extract Valuable Insights from Interconnected Data, All in Real-Time! “ArangoDB’s multi-model approach and the possibility to have joins and graph traversals natively in AQL is very good. Sometimes it’s handy to combine joins and traversals in the same query.”…
More InfoPerformance at Scale
Performance at Scale with Enterprise Graph Unleash Peak Performance with ArangoDB. Leverage Optimized Hardware Utilization, Enhanced Indexing, and Advanced Sharding to Power Through Extensive Datasets in High-demand Environments. “After switching to ArangoDB we could make use of its document and graph capabilities and measured tremendous performance improvements and vast simplification of our code.” Read Case…
More InfoSitemap – ArangoDB
ArangoDB Sitemap Pages About Us ArangoDB – Home ArangoDB as an Embedded Database ArangoDB as Document Store ArangoDB as Full Text Search Engine ArangoDB as Graph Database ArangoDB Enterprise Edition ArangoDB Enterprise: Data Masking ArangoDB Enterprise: Datacenter to Datacenter Replication ArangoDB Enterprise: OneShard ArangoDB Enterprise: SatelliteCollections ArangoDB Enterprise: SatelliteGraphs ArangoDB Enterprise: SmartGraphs & Disjoint Smartgraphs…
More InfoAbout Us
About Us Mission Statement ArangoDB empowers businesses to transform complex data into actionable insights with a uniquely flexible, scalable, and user-friendly graph database while adhering to the highest performance, security, and integrity standards. Vision Today’s business climate is indeed challenging. Organizations that emerge stronger will be those that unlock untapped value from their data. Graph…
More InfoFull Geospatial
Full Geospatial Unlock the Power of Location: ArangoDB’s Full Geospatial Capabilities Enhance Your Data Queries with Precise Spatial Context, All in Real-Time “We needed a data store that met the performance requirements, but more importantly we wanted to test a new approach to save on the development side. We needed graphs to go with the…
More InfoGraph + Search
Graph + Search Unite Graph and Search for Seamless Innovation. Elevate Development Speed and Insights with Integrated Full-text Search, Transforming Data Relationships into Actionable Intelligence. “Using ArangoDB to combine graph and search capabilities within the same use case, we’ve dramatically simplified development.” Read Case Study – Philip Persad, Senior Architect Get started with Graph today…
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Graph + Document Empowering Versatile Data Management: ArangoDB’s Graph + Document Capability Seamlessly Combines Graph and Document Data Models, Boosting Flexibility and Efficiency. “Now, my default go to is going to be ArangoDB. Certainly for key/value information, for document, for graph. And I’m looking at some of the Neo4j projects I’ve done in the past…
More InfoUnified Query Language (AQL)
Unified Query Language (AQL) Unlock Efficiency and Innovation: ArangoDB’s Unified Query Language Simplifies Development, Reduces Costs, and Fuels Business Innovation. Learn why G2 graph database users rank AQL higher than Cypher. “Previously, I preferred MongoDB. However, it is one thing to write queries in JSON notation and another to use a much simpler query language…
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