The Databricks Data Engineer
The Databricks Data Engineer
How Photon actually makes your Databricks queries faster (and when it silently doesn't)
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How Photon actually makes your Databricks queries faster (and when it silently doesn't)

Two engineers run the same SQL on the same Delta table. Same data, same cluster size, copy-pasted code. Alex goes to make a coffee and comes back to a query still running. Sam's is done before they finish reading the first Slack message. The only difference is one checkbox on the cluster called Photon.

Most Databricks data engineers have that box ticked, pay a premium for it on every DBU, and could not explain in plain English what it actually does. "Photon makes it faster" isn't an answer - it's just saying the box does what the box does. And there's one thing it quietly stops doing while you keep paying for it.

In this episode:

- The single architectural change underneath Photon, explained without one line of code or config

- A mental model that lets you explain Photon to a PM in 60 seconds flat

- Why Photon flies on scans, filters, joins, and aggregations but does nothing for certain custom code

- The silent fallback that charges you the fast-engine premium for slow-engine work, with nothing on screen to warn you

- The one query to open in the query profile this week, and the single question to ask of it

This episode is for Databricks data engineers who run Photon every day and treat it as a speed toggle they never think about. Whether you're a mid-level engineer who clicks the box and moves on, or a senior who's never checked whether the premium is paying off, you'll walk away knowing exactly how to tell when Photon is doing the work you're being billed for - and when it isn't.

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