Pulling data from the APIs of dozens of different applications (Shopify, Amazon, NetSuite, 3PLs) requires significant, ongoing engineering effort.
Each application has its own data format. Transforming and normalizing this disparate data into a single, query-able format before loading it into Snowflake is a major challenge.
Traditional ETL processes often run on a nightly or weekly schedule, meaning your analytics are always based on stale data, not what's happening in your business right now.
| 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) | ❌ | ❌ | ✅ |
We process all data through our canonical commerce model, so you don't have to. Orders, products, inventory, and fulfillment data from all sources arrive in Snowflake in a consistent, standardized format.
Move from stale batch updates to live insights. Pipe17 streams data to Snowflake in near real-time, giving you an up-to-the-minute view of your business performance.
Free your data engineering team from the constant maintenance of brittle data pipelines. Pipe17's solution is fully managed, ensuring reliability and allowing your team to focus on analysis, not data plumbing.
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