Petmate builds its data foundation on Snowflake
20+
Oracle source tables migrated into Snowflake
4 to 6
Months to deliver the first milestone, in phases
45 to 50%
Of applicable development work automation-assisted
1
Consolidated reporting layer
The Challenge
1
Oracle-Centered Architecture
Much of Petmate's data architecture was built around Oracle. It served the business well but made it harder to consolidate information and scale analytics.
2
Data Spread Across Systems
Operational and reporting data lived across Oracle and other enterprise systems, which made consolidation harder and tied analytics to legacy infrastructure.
3
More Than a Lift-and-Shift
Petmate needed an architecture for ingestion, transformation, validation, analytics and reporting that keeps expanding as new systems and data sources are added.
PINGAHLA SUCCESS STORY: PETMATE
Petmate Modernizes Its Data Foundation on Snowflake with Pingahla and EazyDI
AUTOMATION
Faster, without cutting corners
Using EazyDI's ELT technology, Pingahla moved a significant share of integration and pipeline development through automation-assisted, repeatable processes.
The team still handled the complex business logic, testing, validation, remediation and performance tuning directly.
Applicable migration and integration development activities
45 to 50%
benefited from automation-assisted, repeatable development. This is not a figure for the project as a whole.
To improve the efficiency of our data integration environment, we adopted EazyDI to reduce our reliance on Informatica IPUs. Working closely with the Pingahla team, we successfully migrated several large-scale workflows to EazyDI, achieving a 25% decrease in Informatica IPU consumption. This initiative delivered measurable cost savings while maintaining the performance and reliability of our critical data processes.
“
Tim Campbell
BI/Data Science Manager, Petmate
PINGAHLA SUCCESS STORY: PETMATE
Looking Ahead on Snowflake
This milestone is a step in Petmate's broader modernization journey. Petmate, Pingahla and EazyDI continue to expand the Snowflake environment and move more workloads off legacy infrastructure, building on the same foundation and integration approach.
