proton
duckdb
| proton | duckdb | |
|---|---|---|
| 10 | 52 | |
| 1,293 | 16,902 | |
| 3.8% | 5.3% | |
| 9.7 | 10.0 | |
| 6 days ago | 3 days ago | |
| C++ | C++ | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
proton
- FLaNK-AIM Weekly 06 May 2024
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Loading a trillion rows of weather data into TimescaleDB
What's the process for adding support for other databases to your tool qStudio?
I'm thinking perhaps you could add support for Timeplus [1]? Timeplus is a streaming-first database built on ClickHouse. The core DB engine Timeplus Proton is open source [2].
It seems that qStudio is open source [3] and written in Java and will need a JDBC driver to add support for a new RDBMS? If yes, Timeplus Proton has an open source JDBC driver [4] based on ClickHouse's driver but with modifications added for streaming use cases.
1: https://www.timeplus.com/
2: https://github.com/timeplus-io/proton
3: https://github.com/timeseries/qstudio
4: https://github.com/timeplus-io/proton-java-driver
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Comparing Timeplus Proton and ksqlDB for stream processing
* Proton is more developer friendly
To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton) or create your own workspace on [Timeplus Cloud](https://timeplus.com).
- FLaNK Stack Weekly 19 Feb 2024
- Proton, a fast and lightweight alternative to Apache Flink
- Proton, extending the historical data, storage, and computing of ClickHouse
- Proton, a unified database for streaming and historical data in a single binary
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First 15 Open Source Advent projects
5. Proton by Timeplus | Github | tutorial
- Timeplus has open-sourced its core streaming processing engine Proton
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?
ytsaurus - YTsaurus is a scalable and fault-tolerant open-source big data platform.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
proton-python-driver - Python driver for Proton which support Proton native wire protocol
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
datasette - An open source multi-tool for exploring and publishing data
POCO - The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.
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
clickhouse_fdw - ClickHouse FDW for PostgreSQL
datafusion - Apache DataFusion SQL Query Engine