NEAREST BY Join: Scaling Vector Search in Databricks Runtime
tech_blogs_databricks

NEAREST BY Join: Scaling Vector Search in Databricks Runtime
tech_blogs_databricks
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging https://lobste.rs/s/oevwp5 #pdf #databases
Two @RedHatSummit Connect stops for Percona this week. ✈️
📍 Scottsdale — Oct. 6
https://red.ht/4AmlNr4
📍 Toronto — Oct. 8
https://red.ht/4gWvy7K
Come find Will Fromme and the team.
#RHSummit #RedHat #OpenSource #Databases #DataInfrastructure #MySQL #PostgreSQL #MongoDB
Percona is heading to @postgresleu #PGConfEU in Valencia. 🐘
From Postgres internals and HA to migrations and Kubernetes, Perconians will share what they’ve learned in the real world.
📅 Oct. 20–23
https://bit.ly/47skxFx
I approve of this message. #Databases
Do you really need another system to manage app workflows?
Jobin Augustine looks at PgQ and PgQue as PostgreSQL-native options and how append-only event models can reduce bloat and concurrency issues.
Thread Pool in Percona Server and MySQL (Part 1)
Discussion | lobsters | Author: eatonphil
Thread Pool in Percona Server and MySQL (Part 1) https://lobste.rs/s/erlbnn #databases
📰 New article by Anand Raghavan, Bhavesh Rathod, Vanshika Nigam
Assess and migrate SQL Server Full-Text Search to Babelfish for Aurora PostgreSQL
📰 New article by Ajith N N, Sanjay Singh, Smiti Guru.
Amagi’s intelligent media operations with Amazon Neptune
Show HN: Minigraf – An embedded, bi-temporal graph database in Rust
Discussion | hackernews | Author: adityamukho
"Data Lake vs. Data Warehouse on AWS: When Should You Use Each?" by Mohit
#data-analytics #data-lakes #data-warehouses #data-engineering #databases
Paris, we’re on our way. 🇫🇷
On Oct. 15, Percona.Connect comes to Comet Cœur Défense for practical conversations about running open source databases in production.
Save your spot: https://connect.percona.com/paris-2026/
#PerconaConnect #OpenSource #Databases #MySQL #PostgreSQL #MongoDB
We ported the original Doom to SQL https://lobste.rs/s/qf2mtz #databases #games
Importing Data using Java Table Functions
tech_blogs_duckdb | Author: Guest Author, Geertjan Wielenga, Alex Kasko
The CedarDB team ported Doom's full 1993 game logic and renderer to SQL - 5,900 lines for the game, 1,300 for BSP rendering. Python reads the keyboard.
Years of treating SQL as where state rests, never where logic runs. Breaks that on purpose at 60fps.
https://cedardb.com/blog/sqldoom
We ported the original Doom to SQL
Discussion | hackernews | Author: Vaslo
Kaushik Iska: What is direct I/O, and why does ClickHouse Managed Postgres use it for backups?
tech_blogs_planetscale
Christophe Pettus: All Your GUCs in a Row: multixact_member_buffers and multixact_offset_buffers
tech_blogs_planetscale