duckdb
budibase
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duckdb | budibase | |
---|---|---|
52 | 332 | |
16,356 | 20,600 | |
9.5% | 2.8% | |
10.0 | 10.0 | |
6 days ago | about 21 hours ago | |
C++ | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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.
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.
- 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
budibase
- Show HN: Teable – Open-Source No-Code Database Fusion of Postgres and Airtable
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Ask HN: What is the easiest way to create a CRUD web app in 2024?
Budibase is great at generating CRUD apps based on a model.
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Airplane acquired by Airtable and is shutting down
Congratulations to the Airplane team.
Is this Airtable moving in the direction of low-code rather than no code? Puts them up against tools like Budibase [https://github.com/Budibase/budibase] and Retool [Https://retool.com]
- Why I'm skeptical of low-code
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Pipe Dreams: The life and times of Yahoo Pipes
I skipped to chapter 9 in the article ("Clogged"), and it looked like Pipes failed because it didn't have a large enough team or a well-defined mission. As a result they couldn't offer a super robust product that would lure in enterprise users. "You could not purchase some number of guaranteed-to-work Pipes calls per month" is the quote from the article.
The reason I think that interesting is because that's the model these days for everything from AI tokens to Monday.com seats. It makes me feel like Pipes was before its time.
That said I've been collecting different "business glue" products that are similar to Pipes. To me, like you say, they aren't as interesting, exciting and intuitive as Pipes was, but maybe it just takes a little more digging. I tried to focus on open source tools but some aren't.
- n8n io: https://n8n.io/integrations/mondaycom/
- Node-RED: https://nodered.org/ (just read about this one in this thread)
- trigger dev: trigger.dev
- automatisch.io: https://automatisch.io/docs/
- Activepieces: https://www.activepieces.com/docs/getting-started/introducti...
- Huginn: https://github.com/huginn/huginn
- budibase: https://budibase.com/
- windmill: https://www.windmill.dev/
- tooljet: https://www.tooljet.com/workflows
- Bracket: https://www.usebracket.com/pricing (just SalesForce <-> PostgreSQL)
- Zapier: zapier.com/
Anyway I hope some of these are fun!
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Automate complicated manual business processes
Budibase is open-source, including the workflow platform which has helped accelerate thousands of workflows already:
- Launch HN: Refine (YC S23) – Open-Source Retool for Enterprise
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Exploring Top 9 Retool Alternatives for Enterprise Applications in 2023
(4) Budibase | Build internal tools in minutes, the easy way. https://budibase.com/.
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Launch HN: Twenty.com (YC S23) – open-source CRM
Also missing these app builders, both of which are open source but offer managed hosting:
* Budibase https://budibase.com
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Small app using a DB?
Buildbase
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
ToolJet - Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀
datasette - An open source multi-tool for exploring and publishing data
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
arrow-datafusion - Apache DataFusion SQL Query Engine
saltcorn - Free and open source no-code application builder