Scale virtual operations with cloud data warehousing and processing.   No code.

Expand with confidence with
multi-cloud multi-data scalability
and elasticity

Expand confidently with:

Cloud data warehousing

    • Multi-source and multi-destination integration
    • Multi-format enabled
    • Cloud hosting freedom
    • Distributed data processing

Data process automation

    • Data load and web services
    • Process in-memory
    • Retroactive processing

Analytic modeling

    • Analytics ecosystem integration
    • Model training and scenario comparison
    • Predictive and prescriptive models
    • Model refactoring and reuse

Collaborative planning

    • Odata integration
    • Comprehensive statistical libraries
    • Lightweight to-do planning

Application development

    • Unlimited extensibility
    • Rapidly deployable apps
    • Mobile-first
    • BI reports integration

Uninterrupted flow of information, seamless user experience, and “plug and play” architecture

Cloud data warehousing

Multi-source &
multi-destination integration

Integrate with a large range of data sources including files, direct application integration for ease of migration as well as real-time streams

Multi-format enabled

Out of the box support for various formats enables migration to the cloud warehouse without the need to transform or pre-process the data in advance

Cloud hosting freedom

The cloud warehouse is location and hosting agnostic giving freedom to choose from popular hosting providers
based on preference

Distributed data processing

Scale data processing horizontally using Spark and Kafka

Data process automation

Data load and webservices

Define data flows that can securely pull data directly from any external system

Process in-memory

Leverage the power of data process automation which doesn’t necessitate or mandate persistence but can share data anywhere based on preference

Retroactive processing

Process data retroactively using historical data to compare scenarios and prepare models with new outcomes

Analytic modeling

Analytics ecosystem integration

Analyze processed data with a large ecosystem of compatible best of breed analytics solutions to derive valuable insights

Model training and scenario comparison

Build and train models to give better predictions with automated data analytics using modern machine learning capabilities

Predictive and Prescriptive models

Setup predictive and prescriptive models as needed by the business to get targetted insights with possible outcomes

Model refactoring and reuse

Change quickly to adapt to new measures and analyze new dimensions with simply refactoring and reuse of models

Collaborative planning

Odata integration

Unlock advanced and broader interoperability with external applications for data analysis and planning with native support for standard OData protocols

statistical libraries

Benefit from a large repertoire of familiar algorithms and formulae for statistical transformation and analysis of data and scenarios

to-do planning

Create simple lists of tasks to continuously track and assign work wihin the team

Application development

Unlimited extensibility

All apps are customizable to suit specific needs with standard apps covering common user requirements

Rapidly deployable apps

Changes to apps and new apps are deployed instantaenously to all users without tedious release management steps


All apps are responsive and mobile friendly to give every user a modern look and feel

BI reports integration

Display reports from 3rd party BI as pages in user apps

Explore other platform capabilities

Start automating quickly with shared data model for cloud and virtual data management

Build faster with democratized data and user app development

Create more apps with data, analytic, planning, and business automation

Get smart and learn not to code

Speed data operations
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