Sold by: Progress Software Corporation
Deployed on AWS
The Progress Data Platform helps organizations turn scattered data into trusted, explainable decisions - fast today, scalable tomorrow. It unifies multi-model data management, semantic enrichment, and decision automation to deliver contextual data for GenAI and enterprise AI. By integrating and reasoning over structured, unstructured, and semi-structured data at scale, it transforms silos into AI-ready knowledge assets. Secure, real-time access across hybrid environments ensures data is available and relevant. Declarative logic execution enables transparent, agile decisioning without custom code. These capabilities reduce hallucinations, improve explainability, and accelerate ROI through governed, intelligent data experiences.
Overview
The Progress Data Platform empowers organizations to unlock the full value of their data by delivering trusted and contextual information for GenAI and enterprise AI applications. The Platform helps businesses reduce operational complexity, improve decision-making, and drive innovation by turning fragmented data into governed, AI-ready knowledge assets to help drive impactful business outcomes.
At its core, the platform provides a unified foundation to integrate, enrich, and reason over all types of data - structured, unstructured, and semi-structured - at scale. This enables enterprises to break down silos and create a consistent, governed view of their information landscape, supporting faster time-to-insight and more reliable AI outcomes.
From a technical perspective, the platform combines multi-model data management, semantic enrichment, and advanced metadata capabilities to deliver a powerful and flexible architecture. It supports real-time, secure access to diverse data sources across hybrid environments, enabling seamless data integration without the need for complex ETL pipelines or custom connectors. This ensures that data is available, current, and contextually relevant for analytics, operational systems, and AI models.
Semantic AI capabilities allow organizations to apply ontology-driven classification and reasoning to their data, enhancing its meaning and usability. This enables more accurate search, discovery, and inferencing, while also improving explainability and reducing hallucinations in AI-generated outputs. The platform's support for vector-based search and semantic relationships further enhances its ability to deliver context-rich responses in GenAI applications.
Integrated decision automation capabilities allow technical teams to model and execute complex business logic declaratively, without embedding rules in application code. This ensures consistency, transparency, and compliance across systems, while enabling rapid adaptation to changing business requirements. These capabilities are especially valuable in regulated industries where auditability and rule traceability are critical.
The Progress Data Platform is built for scalability, security, and interoperability. It supports containerized deployment, cloud-native architectures, and integration with modern DevOps workflows. Its flexible APIs and standards-based interfaces make it easy to embed into existing ecosystems, whether on AWS or across hybrid environments.
By combining robust data integration, semantic enrichment, and decision automation in a single platform, Progress enables technical teams to deliver trusted, explainable, and actionable intelligence - accelerating AI adoption and delivering real business value.
This product is available via Private Offer only. Pricing is based on the selected components, deployment options, and usage tiers tailored to your specific needs. Note: The price below is illustrative and intended to provide a general idea of entry-level deployment costs. Final pricing will vary based on your selected configuration and negotiated private offer terms.
Highlights
- Unified Semantic + Multi-Model Platform: Combine structured and unstructured data with ontologies for deep context and explainability.
- Trusted AI-Ready Data: Governed ingestion, classification, and query across silos with lineage and traceability.
- Enterprise-Grade Security & Scale: Proven, ACID-compliant, high-availability foundation for mission-critical AI and analytics workloads.
Details
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Progress Data Platform Typical Starting Point | Representative set of components and options suitable for pilots and entry-level use cases. Pricing may vary and is based on your specific requirements and eligibility. Request a private offer to receive a custom quote. | $120,000.00 |
Dimensions summary
This listing sells through private offer only. You get one pricing option: a Typical Starting Point measured in Units. It bundles a representative set of platform components and options suited for pilots and entry-level use cases. Pricing is not fixed. Your final cost depends on your specific requirements and eligibility. You request a private offer to receive a custom quote through AWS Marketplace. There are no separate tiers or instance sizes to choose from here. This starting point serves as a baseline you can scale from as your deployment grows.
Top-of-mind questions for buyers
A Unit is the metering measure for a representative bundle of platform components suited to pilots and entry-level use. That bundle can include the data engine, semantic context layer, decision orchestration, and connectors for integrating data and AI systems. Exact component mix depends on your requirements, so request a private offer for a precise quote.
The starting point is a baseline, not a fixed cap. As you add data sources, users, or use cases, your Unit count and final cost scale with your requirements. Pricing is not fixed and depends on your specific needs and eligibility. You would work through a private offer to size a larger deployment.
No. The platform works alongside your current stack rather than replacing it. It connects to existing data lakes, warehouses, content systems, and large language models, then adds semantic context and governance. This means the Units you buy layer onto your architecture without a rip-and-replace project.
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Request a private offer to receive a custom quote.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
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Support
Vendor support
For more information, please visit the link below: https://www.progress.com/support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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