DuckDB: An in-process SQL OLAP database management system. While not a traditional OLAP database, DuckDB is designed to execute analytical queries efficiently, making it suitable for analytical workloads within data-intensive applications. - Source: dev.to / 2 months ago
Easiest way to practically use SIMD table scan database is try out DuckDB: https://duckdb.org/. - Source: Hacker News / 3 months ago
Duckdb so we can make OLAP like queries on the data. - Source: dev.to / 5 months ago
DuckDB is an open source (MIT) high-performance, in-process SQL database for analytics. It is a relatively new project (the first public release was in June 2019), but got tremendously popular in a short period of time. - Source: dev.to / 6 months ago
๐ Organize and link heterogeneous data together (Kaggle, DuckDb). - Source: dev.to / 6 months ago
You can create your own internal datalake using a couple of parquet files and pair it with Duckdb for superfast analytics. Source: 8 months ago
In the vein of single-file databases, I've been enjoying DuckDB and am exploring Kรนzu, both coming out of the database group at University of Waterloo. DuckDB aims to be a SQLite for analytics (OLAP), while Kรนzu is an analytics focused graph database. https://duckdb.org/. - Source: Hacker News / 9 months ago
DuckDB does on their page. https://duckdb.org/. - Source: Hacker News / 10 months ago
Has anyone integrated perl with DuckDB. After reading a recent post regarding DuckDB, I thought it would be interesting to play with. There is no official perl support; however, it sounds like it may be pretty easy to modify DBD::SQLite to work with it based on the following comment from the DuckDB web site. Source: 12 months ago
DuckDB is like SQLite, but with more features and optimized for analytical queries. Source: about 1 year ago
Looks like duck would be a fine query tool to use with something like daba if you're averse to the built in querying or just like SQL a lot. Been playing around with the cli here and it's cool, you import json straight into tables, though I haven't gotten further than this. A nice one to bookmark, thank you for sharing. Source: about 1 year ago
Replace SQLite() by the function specific to whatever DB you are using, and provide the link to your DB. If you don't have a specific one in mind, I'd recommend DuckDB: dbConnect(duckdb(), dbdir = ":memory:"). Source: about 1 year ago
OctoSQL[0] or DuckDB[1] will most likely be much simpler, while going through 10 GB of JSON in a couple seconds at most. Disclaimer: author of OctoSQL [0]: https://github.com/cube2222/octosql. - Source: Hacker News / about 1 year ago
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