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    "url": "https://clickhouse.com/chdb",
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    "url": "https://clickhouse.com/clickhouse/keeper",
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    "id": "clickhouse-comm-1",
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    "url": "https://hn.algolia.com/api/v1/items/41914845",
    "excerpt": "We've been waiting for more JSON support for Clickhouse - the new type looks promising - and the dynamic column, no need to specify subtypes, is particularly helpful for us.",
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    "id": "clickhouse-comm-2",
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    "url": "https://hn.algolia.com/api/v1/items/41914845",
    "excerpt": "IMO the only reason to not use ClickHouse is when you have 'small' data (<100GB) or small servers (<64GB RAM). Otherwise it's a better solution since it's a standalone DB with robust cluster support, easily scaling to hundreds of nodes.",
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    "id": "clickhouse-comm-3",
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    "excerpt": "You should not put ClickHouse and Keeper on the same k8s pod - CH loves to hog resources and will push Keeper off the bed, causing disagreement between the two.",
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    "id": "clickhouse-comm-4",
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    "excerpt": "Clickhouse is criminally underused. It's common knowledge that 'postgres is all you need' - but if you reach the stage where postgres isn't enough, this should be the next tech you look at. clickhouse-local is amazing at csv processing using SQL.",
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    "id": "clickhouse-comm-5",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41914845",
    "excerpt": "Using ClickHouse is one of the best decisions we've made at PostHog. We materialized JSON fields into columns to save CPU/IO before the native JSON type existed; the new JSON type does this automatically and it's very turn-key.",
    "fetchedAt": "2026-09-06T21:06:41.529Z"
  },
  {
    "id": "clickhouse-comm-6",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41914845",
    "excerpt": "Clickhouse has been zero-maintenance for me; my dataset grows 100-200GB/month and the automatic compression makes me worry a lot less about disk space.",
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  },
  {
    "id": "clickhouse-comm-7",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41914845",
    "excerpt": "I had a postgres database where the main index (160GB) was larger than the entire equivalent clickhouse database (60GB) - clickhouse was a factor of 20 better for on-disk size.",
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  },
  {
    "id": "clickhouse-comm-8",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=28595419",
    "excerpt": "We just did months of testing on a bunch of dbs for a time-series workload. Whilst we really liked the story and devs behind clickhouse, the ops burden of not separating storage and compute ended up being a turn off.",
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    "id": "clickhouse-comm-9",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=28595419",
    "excerpt": "We're using Clickhouse to power our in-product analytics. It's awesome but would love a managed service - it definitely requires a bit of management overhead.",
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  {
    "id": "clickhouse-comm-10",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=28595419",
    "excerpt": "I learned of Clickhouse in an unpleasant way. It is a dependency of Sentry. Installing self-hosted sentry on OpenShift failed because Clickhouse wouldn't run in unprivileged containers.",
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  },
  {
    "id": "clickhouse-comm-11",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=28595419",
    "excerpt": "People often think ClickHouse is useful only for TBs of data. That's wrong! It perfectly works on a single-server as a data source for self-service BI tools, with much simpler maintenance than a CH cluster.",
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  },
  {
    "id": "clickhouse-comm-12",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "ClickHouse is incredible. It has replaced a large, expensive and slow Elasticsearch cluster at Contentsquare - 300 Elastic nodes vs 12 ClickHouse nodes, 260TB, lots of queries.",
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  },
  {
    "id": "clickhouse-comm-13",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "Druid got blown away by ClickHouse at eBay: Druid needed 700+ servers versus a 2-region fully replicated ClickHouse system of 40 nodes.",
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  },
  {
    "id": "clickhouse-comm-14",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "When Cloudflare was considering clickhouse, hardware cost estimates were well over 10x what clickhouse required compared to druid's numbers on events processed per compute unit.",
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  {
    "id": "clickhouse-comm-15",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "Compared to Postgres, Clickhouse was a couple orders of magnitude faster for our query pattern, and easier to set up a single-node config than 'big data' stuff. Clickhouse is really a game changer.",
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  },
  {
    "id": "clickhouse-comm-16",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "Clickhouse is rigid-schema + append-only - you can't simply dump semi-structured JSON into it without workarounds; the only integration I've seen up close had a lot of JSON blobs as a workaround, which cannot be queried as easily as in ES.",
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  },
  {
    "id": "clickhouse-comm-17",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "Clickhouse scalability is not as simple/documented as elasticsearch - you can set up a 200-node ES cluster with a simple helm config, but CH is harder to scale that way.",
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  },
  {
    "id": "clickhouse-comm-18",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "I'm using Clickhouse to dump 1-5 billion rows per day from my company's traffic data, with 60 days retained, onto a single i5 desktop. Complex queries return in under 5 minutes. I was flabbergasted.",
    "fetchedAt": "2026-09-06T21:06:41.529Z"
  },
  {
    "id": "clickhouse-comm-19",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "Overall positive experience: 3-node cluster up quickly with official Docker images, ingested billions of rows fast, great compression. Downsides: limited JOIN capabilities, not-quite-standard SQL syntax, and limited DELETE support.",
    "fetchedAt": "2026-09-06T21:06:41.529Z"
  },
  {
    "id": "clickhouse-comm-20",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=26316401",
    "excerpt": "I've used it in production for a year and a half - no other database gives real-time aggregation over hundreds of millions of rows inserted daily for virtually zero cost. It's marvelous work.",
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  },
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    "id": "clickhouse-probe-1",
    "tier": "probe",
    "url": "https://clickhouse.com/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://clickhouse.com/llms.txt # ClickHouse\n\n> ClickHouse is a fast open-source column-oriented database management system (DBMS) optimized for real-ti",
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  {
    "id": "clickhouse-probe-2",
    "tier": "probe",
    "url": "https://clickhouse.com/docs.md",
    "excerpt": "PROBE docs-md: HTTP 404 at https://clickhouse.com/docs.md",
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    "id": "clickhouse-probe-3",
    "tier": "probe",
    "url": "https://clickhouse.com/openapi.json",
    "excerpt": "PROBE openapi: HTTP 200 at https://clickhouse.com/openapi.json — contains \"openapi\" key",
    "fetchedAt": "2026-09-16T21:07:50.202Z"
  },
  {
    "id": "clickhouse-probe-4",
    "tier": "probe",
    "url": "https://github.com/ClickHouse/mcp-clickhouse",
    "excerpt": "official MCP server documented at https://github.com/ClickHouse/mcp-clickhouse",
    "fetchedAt": "2026-09-16T21:07:50.202Z"
  },
  {
    "id": "clickhouse-probe-5",
    "tier": "probe",
    "url": "https://clickhouse.com/docs/concepts/features/interfaces/cli",
    "excerpt": "official CLI documented at https://clickhouse.com/docs/concepts/features/interfaces/cli",
    "fetchedAt": "2026-09-16T21:07:50.202Z"
  }
]