For years, the pipeline industry has struggled with a fundamental problem: every operator, every vendor, and every regulatory body seems to speak a different data language. When you acquire a company, merge pipelines, or bring on a new service provider, the data integration challenges can take months to resolve. We experienced this pain firsthand, and that's why we made a strategic decision to adopt PODS—the Pipeline Open Data Standard—as the foundation of our data architecture.
What is PODS?
PODS isn't just another database schema. It's a comprehensive data model developed by pipeline operators, for pipeline operators, with input from regulators and technology providers. The standard defines how pipeline information should be organized, from the physical attributes of pipe segments to the administrative details of right-of-way agreements.
What makes PODS powerful is its focus on relationships. A pipe segment isn't just a record in a table—it's connected to the pipeline it belongs to, the terrain it crosses, the inspections performed on it, and the repairs conducted over its lifetime. PODS captures these relationships in a way that makes data meaningful rather than just stored.
Our Adoption Journey
When we first started building TetonGuard, we like many companies took the shortcut of designing our own internal data structures. They worked well enough for our own platform, but they created friction when customers wanted to integrate with their existing systems. The breaking point came when a major client asked us to ingest data from three different acquisition targets, each with their own idiosyncratic data structures.
We spent weeks building custom adapters, translating field names, and handling edge cases. That project convinced us that we needed a better approach. We began researching industry standards and discovered that PODS had been matured over two decades with input from hundreds of organizations.
Technical Implementation
Adopting PODS wasn't simply a matter of renaming database columns. The standard is comprehensive, covering everything from coordinate reference systems to manufacturing specifications. We spent months mapping our existing data to PODS entities, identifying gaps in our coverage, and building the transformations needed to move our customers' legacy data into the standardized format.
The real transformation came when we realized that PODS wasn't just about internal data storage—it was about enabling interoperability. Once our platform spoke PODS natively, our customers could share data with confidence, knowing that the receiving system would understand exactly what each data element represented.
Customer Benefits
Our customers have seen immediate benefits from the PODS adoption. Data migrations that previously took months now complete in weeks. Integration with third-party tools, regulatory reporting systems, and acquired company assets all become simpler when everyone agrees on the data format.
Perhaps most importantly, PODS gives our customers confidence in their data quality. The standard includes validation rules that catch inconsistencies before they become problems. When a pipe segment shows as running through a coordinate that doesn't exist in the right-of-way table, PODS-aware systems flag the issue automatically.
Looking Forward
The PODS association continues to evolve the standard, adding support for new data types and refining existing entities based on industry feedback. We're active participants in that process, contributing our implementation experience to help shape the future of pipeline data standards.
If you're struggling with pipeline data interoperability, we encourage you to explore PODS. The initial investment in adoption pays dividends across your entire operation.