duckdb
duckdb-rs
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| duckdb | duckdb-rs | |
|---|---|---|
| 52 | 3 | |
| 16,356 | 357 | |
| 9.5% | 6.2% | |
| 10.0 | 7.3 | |
| 4 days ago | about 18 hours ago | |
| C++ | Rust | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
duckdb
- ๐ช 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.
- DuckDB 0.9.0
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Push or Pull, is this a question?
[4] Switch to Push-Based Execution Model by Mytherin ยท Pull Request #2393 ยท duckdb/duckdb (github.com)
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Show HN: Hydra 1.0 โ 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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๐ฆ Effortless Data Quality w/duckdb on GitHub โพ๏ธ
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
duckdb-rs
- Build a OLAP database using Rust for fun
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Looking for Project Recommendations
I'm working on this https://github.com/wangfenjin/duckdb-rs , if you are interested I can guide you to work on some features I haven't got time to do...
What are some alternatives?
ClickHouse - ClickHouseยฎ is a free analytics DBMS for big data
databend - ๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
datafuse - An elastic and reliable Cloud Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy [Moved to: https://github.com/datafuselabs/databend]
datasette - An open source multi-tool for exploring and publishing data
toydb - Distributed SQL database in Rust, written as a learning project
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Rustler - Safe Rust bridge for creating Erlang NIF functions
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
KuiBaDB - Another OLAP database
arrow-datafusion - Apache Arrow DataFusion SQL Query Engine
talent-plan - open source training courses about distributed database and distributed systems