Databases in 2025: A Year in Review(cs.cmu.edu)
640 points by viveknathani_ | 173 comments
Andy Pavlo's annual blog post reviewing the major trends and happenings in the database industry during 2025.
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Milvus Vector Database in 2023(milvus.io)
4 points by Fendyfd | 0 comments
DuckDB Doesn't Need Data to Be a Database(nikolasgoebel.com)
353 points by tosh | 115 comments
A blog post by Nikolas Göbel discussing how DuckDB can act as a database without storing data itself, querying external data sources directly.
MVCC – the part of PostgreSQL we hate the most (2023)(cs.cmu.edu)
341 points by virtualwhys | 109 comments
Andy Pavlo blog post from April 2023 criticizing PostgreSQL's multi-version concurrency control (MVCC) implementation and its drawbacks.
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Databases in 2025: A Year in Review(cs.cmu.edu)
640 points by viveknathani_ | 173 comments
Andy Pavlo's annual blog post reviewing the major trends and happenings in the database industry during 2025.
7 Databases in 7 Weeks for 2025(matt.blwt.io)
380 points by yarapavan | 109 comments
Blog post by Matt Blewitt recommending seven database technologies to study for a week each in 2025, including Postgres, SQLite, DuckDB, ClickHouse, and others.
DuckDB Doesn't Need Data to Be a Database(nikolasgoebel.com)
353 points by tosh | 115 comments
A blog post by Nikolas Göbel discussing how DuckDB can act as a database without storing data itself, querying external data sources directly.
Databases and why their complexity is now unnecessary(blog.redplanetlabs.com)
318 points by adamfeldman | 303 comments
Red Planet Labs blog post by Nathan Marz arguing that traditional databases impose needless complexity and that newer approaches make it unnecessary.
AI Companies Are Trying to Hide a Staggering Amount of Debt(futurism.com)
628 points by technewssss | 317 comments
Futurism article reporting that AI companies are using off-balance-sheet arrangements to hide large amounts of debt.
Big data is dead (2023)(motherduck.com)
548 points by armanke13 | 428 comments
A 2023 MotherDuck blog post by Jordan Tigani arguing that the era of big data is over and most organizations' data workloads are small.