The upgrade replaces an older Azure SQL Server backend that frequently suffered from high costs, API timeouts, and a hard ceiling of three refreshes per day. Under the new setup, Procore Analytics shares hundreds of curated, quality-checked tables directly to customer environments such as Snowflake, BigQuery, Tableau, and Power BI. Centralized governance through Unity Catalog ensures fine-grained user and project permissions across hundreds of thousands of distinct client shares. This allows jobsite teams to access crucial operational metrics without the latency caused by deep recursive API calls.
Key points
Clients can directly query curated construction records using third-party business tools…: Clients can directly query curated construction records using third-party business tools like Databricks, Power BI, Tableau, BigQuery, and Snowflake.
Eliminating recursive API calls enables fast-moving construction sites to bypass latency…: Eliminating recursive API calls enables fast-moving construction sites to bypass latency and avoid frequent integration timeouts.
The new sharing architecture allows Procore to maintain partitioned, quality-checked data…: The new sharing architecture allows Procore to maintain partitioned, quality-checked data distribution across hundreds of thousands of distinct shares.
Sources checked by our analysis pipeline: 1
A practical look at how OpenSharing enabled Procore Analytics, Procore's business intelligence solution for construction, to double the catalog of extractable data for their customers, across all of their projects, across every major cloud.
Construction runs on data that rarely sits in one place. Information is scattered across platforms, regions, and teams, often locked inside the systems of whichever party generated it. When field data isn't connected to the financial system, that disconnect can hide financial risk. When a project manager, a construction executive thousands of miles away, and a superintendent on the jobsite can't see the same view of a project, decisions get made based on stale or partial information.
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