Question 1

Does Collibra work with AVEVA PI System?

Accepted Answer

Collibra does not have a native PI System connector out of the box. Integrating Collibra with AVEVA PI typically requires custom metadata extractors, REST API development, or third-party ETL pipelines to pull PI tag attributes into Collibra's catalog. This creates significant implementation overhead, ongoing maintenance burden, and a catalog that lacks OT-specific context — it treats PI tags as generic database columns rather than operational sensor streams with interface lineage and asset hierarchy relationships. Osprey connects natively to PI System without custom connectors.

Question 2

Can Microsoft Purview catalog PI System data?

Accepted Answer

Microsoft Purview can ingest some PI System metadata through its SCADA/historian source connector, but it is designed primarily for IT data estates — SQL databases, Azure Data Lake, and cloud warehouses. Purview does not natively understand PI Asset Framework hierarchies, PI-to-PI interface replication chains, OPC interface dependencies, or PI tag quality states. Building a meaningful OT data catalog in Purview for a large PI environment requires significant custom configuration and data governance expertise. Osprey is built from the ground up for PI System and understands these constructs natively.

Question 3

Does Alation support AVEVA PI System?

Accepted Answer

Alation focuses on SQL-based data sources and cloud analytics platforms. There is no native Alation connector for AVEVA PI System. Cataloging PI tags in Alation would require extracting tag metadata into a relational format and building custom lineage definitions manually. This approach loses the operational context that makes PI data meaningful — engineering units, interface source tracing, Asset Framework membership, and real-time quality status. Osprey preserves and surfaces this context automatically.

Question 4

What is the best data catalog for AVEVA PI System?

Accepted Answer

The best data catalog for AVEVA PI System is one that understands PI natively — not one adapted from an IT data governance platform. A purpose-built OT data catalog for PI should: automatically discover and catalog all PI tags and their attributes, understand PI Asset Framework hierarchies, trace the data lineage of each tag through its interface chain (OPC, PI-to-PI), and surface data quality status alongside metadata. Osprey is built specifically for this. It connects directly to PI System, requires no custom connectors, and gives PI System Administrators a searchable, lineage-aware catalog without needing an enterprise data governance team to operate it.

Question 5

What is OT data lineage and why does it matter for PI System?

Accepted Answer

OT data lineage is the complete map of how operational data flows from a field sensor through industrial systems — PLCs, DCS, OPC interfaces, PI-to-PI interfaces, and Data Archives — to a destination PI tag or calculation. Unlike IT lineage, which traces data between databases and pipelines, OT lineage must understand interface nodes, replication configurations, and real-time tag health. For PI System, lineage matters because when a tag goes stale, you need to know whether the failure is at the sensor, an OPC interface, a PI-to-PI interface, or the destination archive. Without lineage, this investigation takes hours. With Osprey, it takes minutes.

Data scientists, analysts, and new engineers all need to make sense of your PI System yet nothing is documented.

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