Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets.

Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets.

Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.



Automated Ingestion & Mapping

Rapidly load data from anywhere, in any format, at any time. Anzo connects to both internal and external data sources – including cloud or on-premise data lakes – to rapidly ingest large volumes of structured and unstructured data through horizontally scaled, automated ETL processes that can be mapped to establish a Semantic Layer of business meaning.

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Data Cataloging

Secure, organize and govern all your data. Anzo provides a newer, smarter approach to the data catalog by leveraging graph models encoding a Semantic Layer that describes the data in business context, while capturing all types of disparate data required, spanning all enterprise data sources and datasets.

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Combine On-Boarded Datasets with Business Meaning

Map existing data assets into business-friendly semantic graph models. Unlike the often opaque and application-centric common relational data schemas which must define all data tables, fields and relationships up front (a rigid process requiring continuous heavy maintenance), Anzo graph models flexibly capture the business meaning of all data using the everyday terms and relationships understood by users. This enables everyone to understand the data they want to blend and utilize for business-oriented analytics. Anzo supports an open data standards modeling language called OWL to create ontology graph models.



Data Layers

Just like Photoshop for your data. Users add Data Layers containing multi-dimensional graph data sets to their Graphmarts for data cleansing, transformation, semantic model alignment, relationship linking, and access control. Data Layers are used to dynamically enhance data in an iterative manner to drive continuous improvement of data richness, quality and connectivity.

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In-memory Knowledge Graphs – context and meaning at unprecedented scale. Cambridge Semantics leads the market in connected data analytics on Enterprise Knowledge Graphs. Our breakthrough AnzoGraph™  is the most advanced of its kind – performing complex ad-hoc, OLAP interactive and batch queries at connected data scales and performance levels that our competition simply cannot match.

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Hi-Res Analytics®

Conduct analysis and exploration across all of your connected data, independent of IT. Anzo’s Hi-Res Analytics provides an interactive and intuitive exploratory experience that allows citizen data scientists, business users and analysts self-service access to even the most complicated data and to receive real-time answers to ad-hoc questions, unaided by IT, without query language skills.

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Our accelerated insight and time to value differentiators

Semantic Layer and Graph Foundation

Semantic Layer and graph models offer inherent flexibility, pushing the modeling, integration and analytics decisions closer to the end-user, reducing time to value in dynamic business environments.

In-Memory Speed/Scale

Anzo has horizontally scalable ingestion and query capabilities that channel the power of cloud computing into accelerating value.

On Demand Data Access & Analytics

Anzo’s Discovery and Analytics tools make it fast and easy to explore and analyze all of your data, including using your own tool sets and unstructured data.

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