hydra
duckdb
hydra | duckdb | |
---|---|---|
27 | 52 | |
2,651 | 17,097 | |
4.6% | 6.4% | |
8.5 | 10.0 | |
about 21 hours ago | 5 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.
hydra
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Using ClickHouse to scale an events engine
Don't feel bad, lots of people get bitten by not reading all the way down to the bottom of their readme: https://github.com/hydradatabase/hydra/blob/v1.1.2/README.md... While Hydra may very well license their own code Apache 2, they ship the AGPLv3 columnar which to my very best IANAL understanding taints the whole stack and AGPLv3's everything all the way through https://github.com/hydradatabase/hydra/blob/v1.1.2/columnar/...
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Moving a Billion Postgres Rows on a $100 Budget
Columnar store PostgreSQL extension exists, here are two but I think I’m missing at least another one:
https://github.com/citusdata/cstore_fdw
https://github.com/hydradatabase/hydra
You can also connect other stores using the foreign data wrappers, like parquet files stored on an object store, duckdb, clickhouse… though the joins aren’t optimised as PostgreSQL would do full scan on the external table when joining.
- Hydra (YC W22) adds upsert to columnar Postgres
- Hydra
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Is ClickHouse Moving Away from Open Source?
New column store alternative : https://github.com/hydradatabase/hydra
HN: https://news.ycombinator.com/item?id=37571974
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Show HN: Hydra - Open-Source Columnar Postgres
some previous discussions:
https://news.ycombinator.com/item?id=37247945
https://news.ycombinator.com/item?id=36987920
and a relevant observation is that there are actually multiple license files in the repo so the consumer should read their explicit licensing section of the readme <https://github.com/hydradatabase/hydra#license> since the GitHub sidebar is misleading
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CDC from postgres to postgres.
Hydra DB Link to Github -> Worked well for aggregated query usecases but not for queries that build reports. Also, data insertion and updation is abyssmal on columnar dbs.
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How Query Engines Work
There's a lot of experience about db operation and how to approach MVCC encoded in PostgreSQL that shouldn't be underestimated.
[0]: https://github.com/hydradatabase/hydra
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Hydra: Column-Oriented Postgres
And just like last time, watch out for the misleading GitHub license detector because it's not entirely Apache as the GitHub summary claims but rather *some* is Apache and buried in the interior is some AGPL stuff: https://github.com/hydradatabase/hydra#license
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?
citus - Distributed PostgreSQL as an extension
ClickHouse - ClickHouse® is a free analytics DBMS for big data
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
postgres - PostgreSQL in Neon
datasette - An open source multi-tool for exploring and publishing data
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
vasco - vasco: MIC & MINE statistics for Postgres
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
ClickBench - ClickBench: a Benchmark For Analytical Databases
datafusion - Apache DataFusion SQL Query Engine