Cambridge Semantics Enhances
January 23, 2020
Semantics has made significant enhancements to its standalone version of
the AnzoGraph DB and released AnzoGraph DB Free Edition for commercial
use. For Cambridge Semantics’ Anzo customers, AnzoGraph DB V2
immediately improves on its current performance and will power many of
the new features of the upcoming Anzo 5.0 release.
AnzoGraph DB is the only MPP (massively parallel processing) graph
database designed to accelerate data integration and scalable analytics
with graph at performance levels that compare favorably with the
industry-leading data warehouse analytics products. It includes over 40
functions for regular line-of-business analytics along with views and
windowed aggregates, as well as graph and data science algorithms to
support in-graph feature engineering and transformations. It enables
application developers to build their own custom functions and
aggregates that can perform in parallel across enterprise-scale
AnzoGraph® DB is the only standards-based graph database supporting both
open W3C SPARQL 1.1/RDF standards and an upcoming version of Cypher on
the same data.
AnzoGraph DB Version 2 Product Highlights
The newly available free version runs on a single server or laptop
and is available for commercial or non-commercial use. It includes
support for 8GB of memory for anonymous use and 16GB of memory for users
Data Science Algorithms - Users
can leverage over 30 new feature engineering and data science algorithms
(correlations, estimators, distributions, PCA, NMF, LDA, etc.) in their
analytics. Included functions are powerful for data preparation and
feature selection in your path to machine learning and AI.
Software Developer Kit (SDK) – For
custom extensions using graph, AnzoGraph DB now includes an API to build
your own parallel connectors and distributed algorithms in C++ or JVM-based
languages. Use your proprietary algorithms or external services for
analytics and predictions.
Performance boost - Significant
improvement in analytics and transformation performance, even when
scaling to billions or
trillions of triples.
enhancements build upon recently added capabilities that use labeled
property graphs in RDF under the new SPARQL*/RDF* proposed standards.
This newest update enables the predicates to have properties,
simplifying data modeling, while addressing analytics, provenance and
time series challenges.
“Over the past year, companies have recognized the power of graph
databases for enabling innovations in data analytics,” said Steve
Sarsfield, Vice President of Product, Cambridge Semantics. “Our
AnzoGraph DB Version 2 delivers the scale required to handle analytical
workloads, deployment on cloud and containers, broad analytical
functions and graph-based data integration across varied data sources.”
"At Parabole, we are focused on high-value AI/ML-driven analytics
insights for socially responsible investing and leveraging our NLP
platform to perform analytics. After considering the leading graph
database vendors, we chose AnzoGraph DB due to its standards-based
approach and unbounded scalability for analytics," said Rajib K Saha,