Below we collect some Tweets about DuckDB

Not the answer you want, but the answer you need: For local DBs switch to DuckDB. https://t.co/x5FAj1ltSB

(Otherwise, I’d check your 5432 port status. On Linux I’d use netstat. My guess is they support Mac too, but don’t know offhand.)

— Grant McDermott (@grant_mcdermott) October 25, 2020

All the benefits of a database, none of the hassle: DuckDB https://t.co/KbSTCAEP52. An embeddable persistent SQL OLAP DB. Subsets do fit in Memory using filters and joins.@CWInl, @hfmuehleisen and 🦆Wilbur; #duckdb, @krlmlr; #DBI @MattDowle; #data.table. pic.twitter.com/Px8zwSBaHR

— smart-R (@smartR101) October 18, 2020

Also, I'm now recommending duckdb over SQLite -- it's embeddable like SQLite, but much more powerful and still fast

— Thomas Lumley (@tslumley) October 1, 2020

I’m a fan of this work!! Watch out for DuckDB. Before you notice it, it’s going to be running your analytics on all types of devices! https://t.co/9ZAwhyCU5l

— Juan Sequeda (@juansequeda) September 23, 2020

If you need sth fast and embedded, try duckdb. It’s columnar an amazing for single machine big data tasks. Embedded too!

— Sefa Ozalp (@SefaOzalp) August 20, 2020

Taking DuckDB for a spin, looks pretty exciting so far. "DuckDB, the SQLite for Analytics" https://t.co/rZTZXaYifM - linear insertion speed up to the 100M rows I've tested so far. Also, fits 100M integers into 400MB disk storage. /cc @fanf @hfmuehleisen @holanda_pe @mark8264 pic.twitter.com/beU3KKn5UN

— Bert Hubert 🇪🇺 (@PowerDNS_Bert) June 6, 2020

Lot of people use SQLite to locally run their analytical queries which are then quite often a bit slow. Luckily, I came around the @duckdb project recently that tries to be the SQLite-for-analytics. In a first test https://t.co/xFogQfqTha it already stands by the promise.

— Uwe L. Korn (@xhochy) October 19, 2019

Congrats to @hfmuehleisen for the first release of his new database. Think of DuckDB as #SQLite for analytics. https://t.co/sA1ae3GHxD

— Andy Pavlo (@andy_pavlo) June 30, 2019