hydra
vasco
| hydra | vasco | |
|---|---|---|
| 26 | 2 | |
| 2,647 | 21 | |
| 4.6% | - | |
| 8.5 | 7.1 | |
| 11 days ago | about 1 month ago | |
| C | C | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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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
vasco
What are some alternatives?
duckdb - DuckDB is an in-process SQL OLAP Database Management System
pg_similarity - set of functions and operators for executing similarity queries
citus - Distributed PostgreSQL as an extension
pgsentinel - postgresql extension providing Active session history
ClickHouse - ClickHouse® is a free analytics DBMS for big data
pg_tle - Framework for building trusted language extensions for PostgreSQL
postgres - PostgreSQL in Neon
orioledb - OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) 🇺🇦
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
pg_uuidv7 - A tiny Postgres extension to create version 7 UUIDs
ClickBench - ClickBench: a Benchmark For Analytical Databases
pg_auto_failover - Postgres extension and service for automated failover and high-availability