alt Hacker NewsTen years of ClickHouse in open source
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It's interesting that the blog post places SQLite and Ladybird on the spectrum, but omits it's chief open source rival: DuckDB.
Agree that Level 3 is what inspires confidence. But we need to invent new business models to sustain in the era of vibe-coded databases.
ClickHouse recently has been a breath of fresh air compared to using timescaledb for a long time. Although psql is the greatest there is and I really enjoyed the fact that I could rely on a single database system to run everything, when it came to migration maintenance and deployment it's really a pain and it also feels like development on timescaledb is a bit wishy washy with all the structural changes from version to version and it really feels like an alpha product sometimes.
> You can open a pull request as an experiment, without aiming for it to be merged - it will be tested with the same level of scrutiny as production releases. Found a new memory allocator, a new compression library, a new hash table, a data format, or a sorting algorithm? - bring it to ClickHouse, and it will expose it inside-out
Wow
ClickHouse replacing Loki finally made our observability stack feel 'right'. It really is a powerhouse for logs and general analytical queries.
I've been using clickhouse for the last year for in-house analytics and found it a really pleasant experience, thanks for all the progress you've made
clickhouse is the low key amazing tech people are busy using instead of posting about. keep it up!
Clickhouse has been a game changer for some of the companies i have worked in the past. This reminds me of this podcast episode (1) from the Rust in Production pod about their Rust adoption.
If your data is too big for postgres, it seems like moving straight to Clickhouse is the best option. We have been through an whole array of distributed database technologies, and Clickhouse might be first one that doesn't have too many compromises.
10 Years! quite a long journey, specailly observeability part is need of hour
Clickhouse is *really* gatekeeping the "zero copy replication" where you store data on object-storage and have high availability from the open source version.
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The query speed deserves the praise, but the JSON ingestion path has quiet footguns nobody mentions here. Every numeric column comes back as a string over JSONEachRow, so a forgotten Number() cast silently turns arithmetic into string concatenation, and with input_format_skip_unknown_fields enabled a single typo in a column name drops that field with no error at all. Worth wiring an assertion that inserts a row and reads it back into CI before trusting the dashboards.
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I discovered ClickHouse around 2017-18 and built a PoC to replace Elasticsearch: 5x better storage and qps, in a couple of weeks.
Managers rejected it because it wasn't well known and was seen as "some database made by Russians."
On a personal level, it's quite sad to have seen that train coming so early and not been able to get on board.