#37 Snowflake CHANGES clause | Better than STREAMS??

In this video (Part 37 of our Snowflake Zero to Hero series), We explore one of the most flexible and underrated features in Snowflake — the CHANGES clause — and how it compares with traditional STREAMS for real-time change tracking. Let’s start with a few practical questions you might already be asking yourself: 1- What if I want to capture only partial data changes—just INSERTs or UPDATEs—without triggering my entire pipeline? 2- What if I'm unsure about using Default vs Append-only streams — is there a simpler alternative for both? 3- What if multiple users want to independently read changes without interfering with each other’s logic? 4- What if I only need to capture changes during a short window — say, the last 7 days — for migration or testing purposes? If these questions sound familiar, this video is for you. In This Video, You Will Learn: ✔ What is the CHANGES clause and how it works ✔ Key differences between CHANGES and STREAMS ✔ Pros & cons of both approaches ✔ Real-world use cases: debugging, audit logs, data sampling ✔ How to write CHANGES queries with custom time windows ✔ Best practices for choosing between Streams and Changes This video gives you clarity on when to use each approach, how to avoid common mistakes, and how to make your change tracking more flexible and maintainable. 💬 Don’t forget to Like, Subscribe, and drop your thoughts or use cases in the comments! #snowflake #changedatacapture #dataengineering #snowflaketutorial