Centrifuge delivers Visual Network Analysis (VNA) in a secure, scalable and 100% thin client application. VNA allows you to overcome your data migration and data integration challenges. In a lightweight, embeddable and thin architecture, we have married rich visualizations with a high speed in-memory caching engine allowing users to render big data in charts, time lines, tables, geo-spatial views and relationship maps. Our approach to interactive visual analytics results in immediate insights.
Our data analysis solutions are cross-platform and accessible via any internet browser. As a result, anyone can access Centrifuge at anytime without installing any software – a true zero-install deployment.
Other data analysis solutions claim to be thin-client but in reality, the bulk of the analytic work - connecting to data models and other data sources & creating the analysis dashboards and key performance metrics. - is all done from a thick, desktop product. Basic viewing is then provided by publishing the work to a web server. Centrifuge Visual Network Analytics offers a data management solution where there is no thick client anywhere and no software to install period. Everything is done through a browser. To schedule a free demo or talk with our technical team, visit our Contact Us page.
Centrifuge Architecture
Standards-Based Platform
Additionally, the Centrifuge server platform is SOA-based and cross-platform. Our data analysis solutions will run natively on virtually any operating system including Microsoft Windows and various types of Linux/Unix. Many existing products are Microsoft-centric and do not support native deployments to commodity Linux clusters that are increasingly popular in data centers today.
Centrifuge delivers this data management and analysis functionality via a set of standard Web services that are extensible. They are also pluggable into existing applications allowing for easy integration into your existing business applications, processes, mash-ups and composite analytic applications.
Big data is handled through our high speed caching engine which efficiently manages large volumes of data in memory while leaving the data in the original data model sources – no need to ingest all of the data as other tools require.