extDB3
duckdb
extDB3 | duckdb | |
---|---|---|
3 | 52 | |
57 | 16,749 | |
- | 4.5% | |
0.0 | 10.0 | |
over 1 year ago | 5 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | MIT License |
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extDB3
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Hey all, I’m Caving in
For anything more advanced, you might want to look into extDB3. But the learning curve there is pretty steep, but there are lots of answers on the forums for getting everything set up. The benefit being the data is stored in SQL db files, which can be modified and opened externally.
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extDB3
extDB3 development was halted in late 2017, no further updates have been made. Here is an archive: https://github.com/SteezCram/extDB3/wiki
- Arma 3 database
duckdb
- 🪄 DuckDB sql hack : get things SORTED w/ constraint CHECK
- DuckDB: Move to push-based execution model (2021)
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DuckDB performance improvements with the latest release
I'm not sure if the fix is reassuring or not: https://github.com/duckdb/duckdb/pull/9411/files
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Building a Distributed Data Warehouse Without Data Lakes
It's an interesting question!
The problem is that the data is spread everywhere - no choice about that. So with that in mind, how do you query that data? Today, the idea is that you HAVE to put it into a central location. With tools like Bacalhau[1] and DuckDB [2], you no longer have to - a single query can be sharded amongst all your data - EFFECTIVELY giving you a lot of what you want from a data lake.
It's not a replacement, but if you can do a few of these items WITHOUT moving the data, you will be able to see really significant cost and time savings.
[1] https://github.com/bacalhau-project/bacalhau
[2] https://github.com/duckdb/duckdb
- DuckDB 0.9.0
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Push or Pull, is this a question?
[4] Switch to Push-Based Execution Model by Mytherin · Pull Request #2393 · duckdb/duckdb (github.com)
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Show HN: Hydra 1.0 – open-source column-oriented Postgres
it depends on your query obviously.
In general, I did very deep benchmarking of pg, clickhouse and duckdb, and I sure didn't make stupid mistakes like this: https://news.ycombinator.com/item?id=36990831
My dataset has 50B rows and 2tb of data, and I think columnar dbs are very overhiped and I chose pg because:
- pg performance is acceptable, maybe 2-3x times slower than clickhouse and duckdb on some queries if pg is configured correctly and run on compressed storage
- clickhouse and duckdb start falling apart very fast because they specialized on very narrow type of queries: https://github.com/ClickHouse/ClickHouse/issues/47520 https://github.com/ClickHouse/ClickHouse/issues/47521 https://github.com/duckdb/duckdb/discussions/6696
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🦆 Effortless Data Quality w/duckdb on GitHub ♾️
This action installs duckdb with the version provided in input.
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Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
Duckdb: https://github.com/duckdb/duckdb - seems pretty popular, been keeping an eye on this for close to a year now.
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CSV or Parquet File Format
The Parquet-Go library is very complex, not yet success to use it. So I ask whether DuckDB can provide API https://github.com/duckdb/duckdb/issues/7776
What are some alternatives?
better-sqlite3 - The fastest and simplest library for SQLite3 in Node.js.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
H-60
datasette - An open source multi-tool for exploring and publishing data
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
datafusion - Apache DataFusion SQL Query Engine
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
duckdb-rs - Ergonomic bindings to duckdb for Rust
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.