Commerce data scattered across dozens of applications makes it impossible to build comprehensive analytics or train ML models without extensive manual data engineering.
Batch exports and manual data dumps create stale analytics. By the time data reaches your data lake, operational decisions have already been made with incomplete information.
Building and maintaining custom ETL pipelines for each commerce application drains technical resources that could be focused on insights rather than infrastructure.
| iPaaS & Custom Builds | Legacy OMS | Pipe17 | |
|---|---|---|---|
| Native API-First Connectivity | ✅ | ❌ | ✅ |
| Pre-Built Commerce Connectors | ❌ | ❌ | ✅ |
| Custom Integration Mappings | ✅ | ❌ | ✅ |
| Advanced Order Orchestration | ❌ | ✅ | ✅ |
| Exception Management & Alerts | ❌ | ❌ | ✅ |
| Unified Inventory Management | ❌ | ✅ | ✅ |
| Rapid to Implement & Go-Live | ❌ | ❌ | ✅ |
| Easy to Add / Swap Channels & Flows | ❌ | ❌ | ✅ |
| Low Total Cost of Ownership (TCO) | ❌ | ❌ | ✅ |
Export events as they happen, not hours or days later. Build real-time dashboards and analytics that reflect your current operational reality, not yesterday's snapshot, reducing data latency by 95%.
Receive consistently formatted data regardless of source system. Our canonical data model simplifies analytics by standardizing how orders, inventory, and fulfillments are represented.
Eliminate the overhead of building and maintaining custom integrations. Our managed pipelines handle API changes and system updates automatically, saving 40 hours weekly on data engineering.
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