Enterprise & OEM

Forcing all data into a single data system can be expensive

Integrating enterprise data systems to run business processes and analytics is a major challenge.

Trying to force all of an organizations data into a single data system can be expensive and inflexible, and manually building and maintaining separate data stores makes it difficult to achieve a single unified enterprise data view for running analytics projects.

Analytics Engines XDPTM is the world’s most flexible, scalable analytics platform for enterprise, enabling the configuration, deployment and operation of industrialised analytics across the organisation. The platform can grow and scale with the organisations development enabling you to manage and maintain an infrastructure that futureproofs your analytics

Software Defined Infrastructure

Software Defined Infrastructure

Analytics Engines XDPTM uses software defined infrastructure to enable easy configuration and management of complex analytics pipelines. We use multiple data stores to ensure use of the right tool for the data and through data virtualisation, we remove data silos and create a unified data view across the organisation.

Flexible and Retargetable

Flexible and Retargetable

Our platform can be developed and configured on premise or on cloud and can easily be redeployed in either setting. The infrastructure can be deployed on a per project/ per team or per client basis with reliable, reproducible configuration. When needs change, so to can Analytics Engines XDP ensuring your infrastructure always matches your needs.

Best in Class Components

Best in Class Components

Analytics Engines XDP combines the best in class of open source software into a single platform that provides you with the security and support of a fully integrated product. We have invested significantly in assessing all the available tools and choosing the best possible components to support the real world needs of data scientists.

Enterprise & OEM Case Study

A leading systems integrator needed to deploy cloud-based infrastructure that supported complex databases, scalability and R compatibility.

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