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Introducing Analytics Buckets
Originally from supabase.com
December 2, 2025 • Roasted by Sarah "Burnout" Chen Read Original Article

Oh, this is just... fantastic. Truly. I was just thinking my life was becoming a little too stable, my sleep schedule a little too regular. And then, like a shining beacon of hope and future on-call alerts, this article appears.

Analytics Buckets! What a wonderfully soothing name. It sounds so harmless, doesn't it? Like a cute little container for your numbers, not a catastrophic single point of failure waiting to happen. It's certainly a friendlier name than the last system we adopted, which I affectionately nicknamed "The Great Devourer of Weekends."

And oh, my heart absolutely sings at the mention of Apache Iceberg and columnar Parquet format. It's so refreshing to see a solution that involves a whole new set of tools, libraries, and failure modes I get to learn about intimately at 3 AM. I was getting so bored with the old cryptic error messages from PostgreSQL. Now I can look forward to a whole new flavor of pain! Will it be a corrupted metadata pointer in Iceberg? A version mismatch in the Parquet library? A silent data-type coercion that only shows up in the quarterly reports? The possibilities for thrilling, career-defining incidents are endless!

Honestly, the promise of a system "optimized for analytical workloads" is my favorite part. It's just so thoughtful. Because we all know that once a new, shiny data store exists, it will only ever be used for its intended purpose.

optimized for analytical workloads

It's just for analytics, they'll say. No one will ever try to build a real-time feature on top of it, they'll promise. I remember hearing similar sweet nothings during the pitch for our last "simple" migration. That one still gives me flashbacks:

I'm sure this time will be different. The scripts will run perfectly the first time. The backfill process won't uncover three generations of data-entry errors we've been blissfully ignoring. The performance characteristics under real-world, panicky, pre-board-meeting query load will be exactly as the documentation promises. It's so bold, so optimistic. It's almost... cute.

So go on, embrace the future. Dive into your Analytics Buckets. Store those "huge datasets." I'll be over here, preemptively brewing a pot of coffee that's strong enough to dissolve steel and updating my emergency contact information. You're gonna do great, champ. I'll see you in the post-mortem.