Discover one of the fastest, most scalable, distributed graph databases purpose-built for high-performance analytical insights. Use cases include data integration of disparate data for the creation of knowledge graphs. Gain key insights using native graph algorithms, data warehouse-style analytics.
Optimized for analytics speed and scale
Offers ultra-fast data loading and ultra-fast analytical queries. Used when you need performance and data volume capacity to linearly scale as you add servers. Connectors are available for a wide variety of sources to help you augment your analytical workloads with a fast graph database.
Analyze the relationships
Take on analytical challenges that were difficult or impossible with a traditional RDBMS. The descriptive vocabulary expressed in SPARQL/OWL and graph algorithms gets you there faster.
Data Virtualization and Knowledge Graphs
AnzoGraph DB's flexible data model lets you load or virtualize diverse data sets for analysis. The schema-less graph database model simplifies knowledge graph creation and is extremely powerful for analytics.
Powerful geospatial capabilities based on OGC and GeoSPARQL standards let you represent and analyze complex location relationships without expensive JOINs.
Want more product information? Explore detailed information about using this product and where to find additional help.
AnzoGraph DB deployment instructions, guidance and tutorials for getting started with AnzoGraph DB, information about general usage and administration, and details about AnzoGraph's features and analytics.
AnzoGraph DB System Settings Reference
Reference information for each of the AnzoGraph Basic system configuration settings
Sample Data, Tutorials, and Benchmarks
Providing a couple different tutorials to help familiarize you with AnzoGraph and the SPARQL and Cypher query languages
Getting started with AnzoGraph Operator
Getting started with AnzoGraph Operator on openshift
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Read what others are saying about this product in our review section.
What do you like best?
API integration flexibility, speed of execution and dual compatibility with RDF and LPG
What do you dislike?
Doesn’t have its own Graph Visualization workbench
Recommendations to others considering the product:
One of the most practical RDF store with a range of analytics end points. Delivers a much better execution experience.
What problems are you solving with the product? What benefits have you realized?
It’s our standard RDF database and provides ability to deliver knowledge graph based intelligence.