Analytics on Connected Data

Connected data has become a central element of
analytics projects and solutions.

A knowledge graph is a natural data model with the capability to harmonize and integrate data as well as apply algorithms and analytic functions needed for connected data analytics.

As an enterprise-scale knowledge graph platform, Anzo allows users to rapidly build scalable knowledge graphs to connect data from multiple sources – iteratively remodeling the data as required for new analytics use cases. Anzo’s in-memory graph engine, AnzoGraph, provides entire libraries of graph algorithms, data science functions and traditional OLAP analytics functions that can be combined in the same query to tackle any analytics problem, at scale, within the knowledge graph. Anzo’s query generation capability allows non-technical users to express complex analytic questions without writing queries or code.

Generative AI Knowledge Graph Webinar


Apply advanced analytics to highly blended datasets in a knowledge graph to find previously hidden insights. Built-in libraries of hundreds of data science primitives and analytic functions/formulas support traditional OLAP and graph specific analytic functions as well as data science, ML/AI, and geospatial functions.


Leverage and exploit investments in data science platforms and algorithms by applying them to highly optimized blended datasets in a knowledge graph. Built-in deep integration with data science platforms through the Apache Arrow Flight Protocol, HTTP/REST APIs, and user-defined-extensions (UDX).

Built-In Analytic Libraries





Inferencing and Semantics Analytics – AnzoGraph’s descriptive vocabulary (SPARQL*/OWL) makes relationships first-class citizens of the database.

Build Your Own – We’ve got you covered with the tools to code your own custom functions that use the power of the MPP cluster.

Graph Algorithms – Graph algorithms like clustering, centrality, pathfinding, community detection, and graph similarity offer a new level of insight.

Data Warehouse-style Analytics – Perform deep analytics as you would on your current data warehouse or augment your architecture for new workloads

Data Science Algorithms – You can apply data science algorithms like correlation, profiling, distributions and entropy analysis.

Geospatial – Complex location relationship analytics are part of our offering. OGC and GeoSPARQL standards are supported.


Anzo's built-in libraries let you analyze connected data at scale.

Accelerating Data Science

Uncover how knowledge graphs meet the needs of modern data science.

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What is Data Fabric Design?

Clarity on what the design of a data fabric is. See the components under-the-hood.

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The Rise of the Knowledge Graph

The details to combine graph data and knowledge representation into a knowledge graph.

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Explore Anzo's Full library of Analytic Functions

Visit Anzo's documentation library to explore a full list of built-in analytic functions.

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  1. Webinar: Generative AI & Anzo Knowledge Graph

    Join this virtual demonstration to see how Knowledge Guru makes it easy to enable any authorized user with the power to explore data for real-time insights.

  2. Knowledge Guru FAQ

    You've got questions, we've got answers. Here is a list of the most common questions we get regarding Knowledge Guru in Enterprise environments.

  3. Knowledge Guru Solution Brief

    Find everything from an introduction to Knowledge Guru to Enterprise barriers, architecture, use cases, and much more.

  4. Knowledge Guru Press Release Announcement

    Bring the power and excitement of the LLM world to the enterprise with full compliance and exacting enterprise standards where accurate answers, data ownership, privacy, provenance, scale, and security are paramount.