Partners


VirtusaPolaris has strategic partnerships with leading technology vendors including IBM, Oracle, Microsoft and SAP.

Our complete list of partners include:

IBM

VirtusaPolaris has a dedicated Center of Excellence for IBM DataStage, a market leading data integration tool and a core component of the IBM Infosphere product line.

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Oracle

VirtusaPolaris has partnered with Oracle to offer consulting, solution implementation and support, migration and custom services for leading BI implementations.

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Microsoft

As a Microsoft partner, VirtusaPolaris helps organizations deliver superior data integration, business intelligence and analytics capabilities.

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SAP

Our SAP BusinessObjects solutions help companies streamline operations by leveraging a global workforce to reduce costs.

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Cognos, an IBM Company

VirtusaPolaris partners with Cognos for providing world-class enterprise reporting, BI software and services to help companies plan, understand & manage financial & operational performance.

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Informatica

As a strategic partner VirtusaPolaris leverages Informatica to reduce costs and expedite the time to address data integration needs of any complexity and scale for its global clients.

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Talend

Our partnership with Talend, the recognized market leader in open source integration helps solve current enterprise issues around big data, data integration and business intelligence.

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Huma BI

Huma BI designs and develops state-of-the-art, self-service business intelligence products. These products address the key information management challenges which financial services firms face today.

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Splice Machine

Splice Machine’s Hadoop RDBMS is designed to scale real-time applications using commodity hardware without application rewrites.

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Tableau

Tableau offers highly interactive and intuitive data discovery products that enable business users to easily access, prepare and analyze their data without the need for coding.

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MicroStrategy

MicroStrategy is a leading Enterprise Analytics platform that empowers organizations to make sense of large data volumes.

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