With Lakehouse federation for AlloyDB, you can query data in Iceberg and BigQuery from the PostgreSQL plane. Get historical insights in BigQuery or Iceberg without any data movement →

An AI-ready open lakehouse has three layers: Apache Iceberg for storage, catalog federation for governance, and MCP for AI agent access. More on our borderless lakehouse with @googlecloud: 🧊

Querying JSON in open lakehouse tables means parsing everything at runtime — no predicate pushdown, no skipping. Iceberg v3 Variant flips that by: ✦ Shredding nested data into typed columns at write time ✦ Enabling predicate pushdown at the column level Result: In an 11-query benchmark on identical Iceberg tables, Snowflake was 2.3x faster at equivalent compute.

That is the multi-engine lakehouse goal. Apache Iceberg gets us closer, but teams still need to design for interoperability, governance and shared business logic. Check out the guide for what's solved and what isn't:

🎉 Huge congrats to Apache Fluss on graduating as an Apache Top-Level Project! 🚀 Born inside Alibaba Cloud’s Flink team to power real-time analytics & AI with a streaming-native storage layer, Fluss was open-sourced because this challenge is universal—and the solution should be too. Already running in production at Alibaba, Xiaohongshu, Ant Group, Fresha, and iQiyi—handling hundreds of billions of events at peak! Fluss + Flink power Alibaba Cloud OpenLake’s real-time Lakehouse—unifying fresh and historical data in one table with a shared catalog and multi-engine support for users and AI agents. Read the blog to learn more: #ApacheFluss# #Flink# #RealTimeData# #Lakehouse# #OpenSource# #AlibabaCloud# #Streaming# #AI#

My friend’s boomer dad sold the lake house last year. The one they grew up in every summer. The one my friend has a tattoo inspired by. The one with the dock they built together with their grandfather’s tools that are now also gone. Sold it without telling anyone. My friend found out when a stranger posted a photo of it on Instagram with a renovation reveal. New owners painted it white. Took the dock out. Put up a privacy fence. His dad said he needed the liquidity. Made $340,000 on a property he paid $48,000 for in 1991. Didn’t offer my friend a dollar of it. Said the market was right and it made financial sense. My friend is 34. Still renting. Watched $340,000 in potential generational wealth get converted into his dad’s retirement fund. The lake house wasn’t just a house. It was the closest thing they had to something being passed down. Now it’s just someone’s content

Very thankful and blessed to Randy and Lora Denney from Indiana for their amazing donation of $55000 to Make-A-Wish Central New York annual charity auction winning the bid to take over my Lake House in Skaneateles for the weekend and eat VIP at our 4 restaurants. It was so much fun hosting them and their closest 8 friends! Generous people who share their love of this amazing charity with me. This money will go a long way locally making some wonderful children's wishes come true ❤️

Indonesia, are you ready? 🇮🇩🔥 DJ SODA‘s Indonesia Tour starts this week May 12 — Sector B from YB’s Sector B YouTube Live May 15 — Superhouse Paskal, Bandung May 16 — Mimi Livehouse PIK, Jakarta Soda Gembira in town! See you very soon everyone💕