Data Platform Pricing
Flexible enterprise pricing aligned to the scale, capabilities and deployment model of your data platform.
Progress® Data Platform pricing is designed to support enterprise-scale deployments across data management, AI enablement, governance and decision automation. Organizations can start with the capabilities required for their initial data initiatives and expand over time as additional workloads, teams and data domains are brought onto the platform. Pricing reflects the scope of deployment, platform capabilities enabled, and the operational scale of the environment.
- Flexible Deployment
- Capability-Driven Platform
- Enterprise Scale
- Unified Data Foundation
Cloud, hybrid, and on-premises environments supported.
Pricing reflects enabled platform capabilities.
Supports growing workloads and data environments.
Multiple data initiatives on a single platform.
Pricing Overview
Rather than pricing isolated tools independently, the model supports the use of multiple capabilities on a unified data platform. This enables organizations to scale their data and AI initiatives while maintaining a consistent operational foundation. Organizations commonly begin with a focused initiative and expand platform usage across additional teams and data domains as adoption grows.
Capabilities commonly enabled on the Progress Data Platform include:
- Data integration and connectivity
- Multi-model data management
- Semantic enrichment and knowledge modeling
- Metadata and reference data management
- Data governance and security
- Policy and decision automation
- AI and analytics enablement
- Multiple data initiatives on a single platform
What Determines Pricing
Pricing for the Progress Data Platform is determined by several factors related to the scope and scale of deployments.
Deployment Model
Organizations can deploy the platform in cloud, hybrid or on-premises environments. Infrastructure architecture and operational requirements may influence pricing structure.
Platform Capabilities
Pricing reflects the capabilities enabled across the platform including data management, semantic enrichment, governance, policy automation and AI enablement.
Data Scale
The volume of data processed, stored and accessed across workloads contributes to the overall platform footprint.
Infrastructure and Environments
The number of environments, compute resources and operational resiliency requirements may influence deployment scope. Enterprise Usage Pricing may also reflect the number of teams, applications and data workloads supported across the organization.
GSA Pricing Option
Progress Federal Solutions, a subsidiary of Progress, also offers GSA pricing.