Product Update - 🗺️ Pipeline Editor: See your full data pipeline, edit safely in sandbox

The Pipeline Editor is now live for Snowflake users.

It gives you a clear, end-to-end view of how data flows through your pipeline — from raw sources to final transforms — and a safe place to make changes without touching your live environment. Here's what's new 👇

🔍 What the Pipeline Editor shows you

Open the Pipeline Editor and you land in your live environment by default. From there you can search for any transform by name or browse through transform groups and schemas.

The pipeline view lays out your data flow visually: upstream nodes on the left, downstream on the right. You can zoom, pan, and highlight dependencies. Double-click any node to open it in the editor.

Color coding keeps you oriented at a glance:

• Red sidebar — transform failed
• Yellow sidebar — currently updating
• Grey sidebar — blocked by an upstream failure
• Green sidebar — ran successfully
• Yellow node — live, but modified in sandbox
• Green node — newly created in sandbox

Hover over a failed transform to see the error message inline. No digging through logs to find out what broke.

📦 Sandbox: edit without breaking anything live

The sandbox is an isolated workspace where your changes stay contained until you decide to publish them. Nothing you do in sandbox affects your live pipeline.

To switch to sandbox mode, use the toggle at the top of the editor. From there you can:

• Edit SQL directly in the editor
• Create new transforms (via the "Create new transform" button or by clicking the + on any table node)
• Preview data and inspect column names and types before committing anything

The Sandbox Summary Sidebar on the right keeps track of everything in progress:

• Unsaved Changes — transforms you've modified but haven't saved yet
• Pending Changes — saved transforms ready for review before promotion to live
• Stored Versions — a history of your sandbox configurations to reference or roll back to

When you're ready, click Review in the sidebar to inspect your changes before deploying.

⚙️ Working with transforms, tables, and extracts

Right-click any transform node to run it, delete it, or reset unsaved changes. For tables, you can preview data and examine column types. For extracts, right-click and select Edit extract to update configuration — logs and details are available in the preview panel.

🚧 Currently available for Snowflake. BigQuery and Redshift support is coming soon.

Full docs at docs.kleene.ai.