Our Solution

Introducing Revfore Accelerate

No-Code Relational Data Framework for OneStream

Revfore Accelerate is a no-code solution that enables OneStream administrators, developers, and power users to rapidly create, manage, and use custom relational tables and views directly inside the OneStream platform.

Relational data structures are a foundational element of advanced planning, operational modeling, and custom application development. However, building and maintaining them typically requires SQL development, custom dashboards, and significant implementation effort.

Revfore Accelerate removes that friction by providing intuitive tools that allow users to design and create relational data structures, manage the data within them, and integrate interactive views of that data directly into dashboards and workflows — all without writing code.

In addition, these views can be seamlessly integrated into OneStream’s Genesis dashboard creation tools, allowing users to quickly build menu-driven relational data solutions with minimal development effort.

With Revfore Accelerate, organizations can accelerate solution development, standardize relational data management, and rapidly extend OneStream for operational planning, analytics, and custom solutions.

Relational Tables

Revfore Accelerate makes it simple to create custom relational tables directly within OneStream using an intuitive configuration interface.

Administrators and developers can quickly define new tables, columns, key attributes, and relationships without writing SQL or manually managing database objects. Behind the scenes, the solution automatically generates and manages the required relational structures.

Key capabilities include:

This dramatically reduces the time and technical effort required to build the relational data foundations needed for advanced solutions.

Relational Models

Once tables are created, Revfore Accelerate provides powerful modeling tools to link relational tables and build reusable relational data models.

Users can join relational tables, create expression columns, define lookups, and configure default values and attributes. These capabilities allow relational models to centralize the logic needed to support operational workflows and data management.

Capabilities include:

This allows organizations to design relational data structures that mirror real business objects such as Locations, Customers, Vendors, CapEx Requests, Assets, People and more.

Relational Model Views

Once Relational Models are created, Model Views can reference them and further refine which columns are included for specific use cases.

Administrators can choose a subset of columns, control column order, apply optional filters, and assign a name to the view.

This approach allows organizations to reuse complex relational models while presenting simpler, purpose-built views tailored to different workflows.

Capabilities include:

These views serve as the foundation for relational data interfaces and dashboards, enabling consistent reuse of underlying relational models across solutions.

Data Management

Revfore Accelerate provides powerful yet simple tools for managing relational data directly within OneStream.

Users can interact with relational datasets through the interactive Model Views that support spreadsheet-style editing and bulk operations.

Capabilities include:

This enables organizations to maintain operational data efficiently while preserving governance and security within the OneStream platform.

Dashboard Integration

Relational Model Views created in Revfore Accelerate can be easily integrated into OneStream Genesis or custom dashboards.

This allows administrators and developers to rapidly build menu-driven relational data solutions that combine relational data management, workflows, and operational interfaces within a consistent user experience.

Capabilities include:

By combining Revfore Accelerate with OneStream’s Genesis and custom dashboard tools, organizations can quickly deliver powerful relational data solutions while maintaining a governed and scalable architecture.