UKG, a major provider of human capital management (HCM) and workforce management (WFM) solutions, has announced the development of People Fabric, a new data and intelligence platform designed to address the complexities of its extensive product suite. This platform is built to integrate data from a vast and historically fragmented backend, which includes over 12,000 database instances inherited through years of product evolution and strategic acquisitions. The goal is to create a unified foundation for next-generation intelligence across all UKG offerings, encompassing scheduling, HR, payroll, culture, and engagement.
At the core of People Fabric is the concept of a single canonical data model, intended to standardize people, work, pay, and culture data. This unified model acts as a shared language, ensuring consistency regardless of the data's origin. For the operational backbone, UKG has selected AlloyDB for PostgreSQL, chosen for its ability to ingest changes rapidly and scale horizontally. AlloyDB's capabilities, such as millisecond — level read-after-write behavior, high-throughput ingestion, and scalable read pools, are crucial for supporting real-time AI functionalities, including native vector capabilities.
The data pipeline supporting People Fabric involves a custom change data capture (CDC) framework to extract real-time updates from existing operational databases. These changes are then processed through Dataflow, transformed into the canonical structure required by AlloyDB for PostgreSQL. This real-time data serves multiple purposes within the platform: it enables near-instantaneous queries for applications, provides AI agents with cross — domain decision — making capabilities, and powers natural language and similarity — based user experiences through vector search engines. For large — scale analytical needs, the same data is streamed into BigQuery, allowing for organization — wide reporting and analysis without impacting the performance of the operational systems.
Complementing AlloyDB and BigQuery, Cloud SQL plays a role in managing the metadata and tenancy context that governs data access and the interactions between different components of the UKG suite and People Fabric. This layered approach ensures that data is not only readily available but also securely managed. The system operates continuously, with data ingested through streaming mechanisms and modeled once in AlloyDB to be accessible across the entire platform, creating a truly unified and dynamic data environment.
The implementation of People Fabric is expected to significantly enhance the assistive capabilities offered to UKG customers. By providing a complete and consistent view of workforce data updated in real time, the platform powers features like conversational reporting and natural language interactions. This allows leaders to ask questions in plain English and receive comprehensive answers derived from the full spectrum of HR, time, pay, culture, and operations data, moving beyond insights limited to single systems. The integration with Google's Agentic Data Cloud further enables AI agents to reason over live workforce signals and trigger immediate actions, facilitating multi — step workflows across HR, payroll, and timekeeping with reliable governance and security.
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