Simple Data Mesh Architecture (SDMA) - a cloud-native, serverless, and multi-tenant analytics-as-a-service solution

The Simple Data Mesh Architecture (SDMA) is a cloud-native, serverless, and multi-tenant analytics-as-a-service solution that commoditizes data platform capabilities, transforming them into self-service, on-demand analytics tools accessible directly from the browser. SDMA enables federal agencies to rapidly deploy, adapt, and share data products in response to evolving operational needs—without the constraints of traditional, monolithic data platforms. By operationalizing core Data Mesh principles, SDMA shifts the focus from centralized platform management to mission enablement, ensuring that agencies can securely access, govern, and analyze data at scale. SDMA provides a federated, domain-driven approach to data management, where teams can own and curate their data products while still adhering to agency-wide governance and security standards.

Key Features & Benefits:
Deploys in Under Tw- Hours. A turnkey, ATO-ready security architecture built with 100% Infrastructure-as-Code (IaC) for rapid implementation.
N- Servers to Patch, Scan, or Maintain. Fully serverless and cloud-native, eliminating infrastructure overhead and reducing operational complexity.
Pay Only for Time Workloads Are Present. A consumption-based model that eliminates expensive licensing fees, reducing total cost of ownership.
Data Mesh-Enabled Architecture. Supports domain-oriented ownership, federated computational governance, self-service data access, and data-as-a-product principles, ensuring scalable, decentralized data management.
Mission-Driven Data Agility. Allows agencies to deploy and adapt data products quickly, supporting real-time decision-making, policy compliance, and cross-agency collaboration.
Cloud-Native, Serverless Infrastructure. Eliminates data silos and vendor lock-in, leveraging open, interoperable technologies such as AWS GovCloud, Azure Blob, and service-referenceable object stores.
Multi-Tenant Data Lakehouse Architecture. Enables fine-grained access controls, metadata-driven governance, and federated data product sharing while maintaining data sovereignty and security.
BuiltoIn AI/ML & MLOps Capabilities. Supports real-time analytics, process automation, and intelligent decision-making, reducing the reliance on complex, standalone platforms.
Zer- Trust Security Model. Implements strict access control and governance enforcement, ensuring policy-driven, secure data sharing across organizations and stakeholders.
By enabling Data Mesh principles and eliminating traditional infrastructure burdens, SDMA provides a costoeffective, highly scalable, and secure solution for federal agencies. This modernized, self-service data ecosystem allows organizations to focus on mission outcomes rather than managing IT infrastructure, ensuring faster, more agile decision-making with reduced operational overhead.