Woman with curly hair and glasses using a laptop on an office couch.

Overview Resources

Altair® Graph Studio™

An enterprise-scale knowledge graph toolset that enables agile data integration, transformation, and analytics for organizations with diverse data sources.

Altair® Graph Studio™ (formerly Anzo by Cambridge Semantics) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semantic layer adds real-world meaning to data – structured and unstructured alike – making insights clearer and previously unseen connections explicit. Graph Studio creates a single pane of glass for an enterprise's data, eliminates data silos, activates unused data, and enables exciting new levels of on-demand business insight.

Knowledge graphs built with Graph Studio provide understandable, comprehensive organizational context to all enterprise analytics solutions, especially to those that employ generative AI. Graph Studio knowledge graphs map how humans think (and how generative AI models understand the world) to how data is stored and accessed to answer user questions accurately. Automate scalable graph pipelines with Altair® Graph Lakehouse™, a high-performance massively parallel processing (MPP) graph engine that can execute queries and deliver results against large datasets in seconds. Graph Studio offers organizations the straightest line from near complete data immaturity to becoming a truly AI-driven enterprise.

Graph Studio Overview Video

Why Graph Studio?

Two coworkers looking at laptop in an office setting.

Connect All Your Data

Graph Studio’s data onboarding pipelines, virtualization, and transformation capabilities rapidly catalog and connect structured/unstructured and internal/external data sources into highly integrated enterprise-scale knowledge graphs.

Altair Graph Studio knowledge graphs displayed on a desktop computer monitor.

Make Your Data Easier to Use with Semantics

Graph Studio adds a layer of semantic definitions on top of your graph, allowing for richer integration of the data around intuitive business terms and definitions, making the data more accessible and easier to understand and use.

Person working on a desktop computer at an office desk.

Discover New Insights Using Advanced Analytics

Graph Studio is powered by Graph Lakehouse, a high performance MPP that includes hundreds of data science primitives, traditional online analytical processing (OLAP) analytics, graph algorithms, and geospatial functions to support a variety of analytics use cases.

Key Features

Optimized for Analytics Speed and Scale

Fast data loading and analytical queries. Performance and data volume scales linearly as you add servers. Supports atomicity, consistency, isolation, durability (ACID). Unique in its ability to transform data in graph at scale.

Any Data at Any Scale with Industry-Standard Languages

Handle structured/unstructured data from diverse data sources. Supports both the standard Resource Description Framework (RDF) data model and labeled property graph model (using W3C RDF* and SPARQL* proposed standard).

Apply Analytics to Connected Data at Scale

Analyze data in graph format using inferencing and semantic analysis, graph algorithms, data warehouse-style OLAP analytics, data science functions, and geospatial functions.

Build Customized Blended Data Products

Graph Lakehouse – Altair’s flexible semantic graph modeling and MPP in-memory graph engine – achieves rapid data loading, modeling, and analysis at scale.

Create, Edit, or Import Models

Built-in modeling tools let users create, edit, or import models based on RDF and Web Ontology Language (OWL); versioning and access control allow users to manage which users participate in model development.

Seamlessly Integrate

Support for Jupyter Notebooks, Apache Arrow Flight Protocol, HTTP/REST APIs, BI tools, and user-defined-extensions (UDX) allow Graph Studio to seamlessly integrate with new and existing data science and advanced analytics ecosystems.