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The article focuses on Multigres, an open-source operating system designed specifically to enhance Postgres scalability, high availability, and connection pooling. While it discusses database architecture improvements, these are presented as foundational infrastructure components directly enabling the scaling of AI applications and agents that rely on persistent data storage. The content does not center on AI algorithms, quantum mechanics, or general consumer tech, but rather on the critical database layer required for robust AI system deployment.
Source coveringSupabase
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Scale without limits: Multigres, OrioleDB, and dbarena

Supabase4 min read

The app your agent built in minutes stays on the same Postgres from prototype to petabyte.

Today at Supabase Select, we announced Multigres for high availability and scalable connection pooling, and OrioleDB for high performance storage. We launched dbarena, an open benchmarks site for comparing managed Postgres providers’ performance results and costs. Every Supabase project starts with a single Postgres database. As your project grows, vertically upgrading the database’s available RAM & CPU resources can help, but it isn’t a solution to every challenge. Scaling Postgres isn’t a singular problem — users encounter new challenges at different stages of scale and…

Excerpt shown under the publisher's RSS terms · 85 words · full text and figures are on the publisher's site

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