5 posts tagged with "Snowflake"

Oracle Transportation Management integration is one of the more deceptive data engineering problems in the logistics stack. OTM exposes a well-documented REST API and sync looks straightforward on paper -- until you run it against real data and discover that the metadata catalog returns 400 on half the tables you need, "empty" timestamps arrive as literal 0, and sync-mode responses silently truncate at 1 MB.

This guide walks through how OTM data integration actually works in production: the objects that matter, the five quirks that break naive pipelines, the right way to handle incremental sync with OTM's server-side clock, and how to move OTM data into Snowflake or any cloud warehouse reliably.

Need to replicate your SQL Server tables into Snowflake? Supaflow's SQL Server connector supports two query modes: Standard for simple cursor-based sync, and Change Tracking for capturing every insert, update, and delete -- including hard deletes that standard mode can never detect.

This guide walks through setting up a SQL Server to Snowflake pipeline with Change Tracking enabled, so your Snowflake tables stay in sync with every change made in SQL Server.

Got files sitting in Google Drive that you need in Snowflake? Whether they are CSVs, Excel workbooks, TSVs, or Google Sheets, Supaflow's Google Drive connector can sync them into Snowflake tables automatically -- with schema discovery, incremental sync, and schema evolution built in.

This guide walks through the full setup end to end using CSV files, but the same workflow applies to all supported file types.

Most ETL tools move your data through a third-party cloud before loading it into Snowflake. Supaflow takes a fundamentally different approach: the pipeline engine runs inside your Snowflake account as a Snowflake Native App. Your data never leaves Snowflake.

We are now live on the Snowflake Marketplace -- install directly from Snowsight and start running pipelines in under 20 minutes.

Introducing Supaflow​

A single platform to replace multiple stitched-together pipeline tools.

Modern data teams are drowning in vendor sprawl. The average company uses four to five different tools just to move data from Salesforce to Snowflake—and back again. Each vendor adds another contract, another integration to maintain, and another potential point of failure.

That's why we built Supaflow: a unified data movement platform that collapses ingestion, transformation, activation, and orchestration into one secure, flexible solution—without your data ever leaving your environment.