- Documentation
- Installation
- Data Import
- Client APIs
- SQL
- Introduction
- Statements
- Overview
- Select
- Insert
- Delete
- Update
- Create Schema
- Create Table
- Create View
- Create Sequence
- Create Macro
- Drop
- Alter Table
- Copy
- Export
- Data Types
- Expressions
- Functions
- Overview
- Numeric Functions
- Text Functions
- Pattern Matching
- Date Functions
- Date Format
- Timestamp Functions
- Blob Functions
- Nested Functions
- Indexes
- Aggregates
- Window Functions
- Samples
- Pragmas
- Full Text Search
- Development
- Why DuckDB
- FAQ
- Code of Conduct
- Live Demo
- Benchmarking
Below we collect some Tweets about DuckDB
I don't know who needs to hear this, but if you need a in-memory database to play with in #rstats, DuckDB has a more robust feature set than SQLite and is just as easy to use 🤓
— Emily Riederer (@EmilyRiederer) September 20, 2020
🦆https://t.co/i3zpPd4eUE
Not the answer you want, but the answer you need: For local DBs switch to DuckDB. https://t.co/x5FAj1ltSB
— Grant McDermott (@grant_mcdermott) October 25, 2020
(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.)
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