Procore has revamped its construction analytics platform by adopting OpenSharing, enabling real-time, scalable, and secure data sharing across diverse customer environments worldwide. This shift addresses prior constraints around API-driven extraction, daily refresh limits, and data siloing, thus improving cloud efficiency and user experience.
- Replaces costly, brittle API calls with efficient curated file sharing.
- Enables hundreds of data refreshes per day for real-time project insight.
- Supports broad customer cloud and BI platform interoperability.
Infrastructure signal
Procore’s transition from an API-heavy SQL Server extraction model to an OpenSharing-backed architecture significantly alters its cloud infrastructure footprint. The previous approach required numerous recursive API calls, leading to high compute and networking costs and limited data refresh rates. By sharing curated datasets directly via Unity Catalog and Databricks, Procore reduces operational overhead and enhances scalability, supporting hundreds of thousands of distinct data shares concurrently.
This architecture also unlocks enhanced reliability by minimizing points of failure associated with API timeouts and rate limits. Data governance is strengthened through centralized access controls, ensuring compliance and security across many customer environments. These improvements collectively reduce cloud cost inefficiencies and complexity inherent in the old method, while providing a robust platform capable of supporting global customer needs across various continents and cloud ecosystems.
Developer impact
The move to OpenSharing improves developer workflows by offering native integrations for those using Databricks and an open protocol that works seamlessly with widely used BI tools such as Power BI and Tableau. Developers and analysts no longer need to piece together data from multiple API calls but instead consume fully curated, cleaned, and modeled datasets, which accelerates development cycles and reduces troubleshooting related to data inconsistencies or timeliness.
This platform design also enhances developer productivity by allowing customers to integrate Procore data directly into their own environments—be it Snowflake, BigQuery, or their on-premises systems—without additional ETL complexity. The open client libraries support diverse development stacks, enabling customers to maintain flexibility while leveraging the benefits of real-time, partitioned, and governed data sharing.
What teams should watch
Cloud architects and platform engineering teams should monitor how this shift impacts cost and performance metrics, especially regarding API call reduction and data partitioning at scale. Observability teams need to adapt monitoring tools to track access patterns, refresh frequency, and governance enforcement through Unity Catalog to ensure compliance and optimize resource allocation.
Product managers and analytics teams must explore the improved freshness and granularity of data now available with multiple daily refreshes. This opens opportunities for more dynamic dashboards and near real-time indicators of jobsite conditions, financial risk, and workforce metrics. Additionally, security and governance teams should validate that access controls are operating as expected across large distributed customer bases and multiple project facets.