Top all-time · #5513
starrocks.io
Company blog · starrocks.io/blogdataprogramming
starrocks.io is the company blog at starrocks.io, writing about data and programming. Since 2022, 14 different Hacker News readers have linked it 17 times, most often “StarRocks vs. ClickHouse: The Quest for Analytical Database Performance”. It is still writing: the last post was on 2026-04-29, and you can follow it by feed.
Too few sampled comments (11) to say how often HN recommends it.?
Why HN links it
HN readers mostly link StarRocks' site as a pointer to an open-source OLAP database that competes with ClickHouse, often for its benchmark and comparison posts and its 4.0 release notes. The comments are not about the writing itself.
Summarised by Claude from a sample of 11 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.
Most-linked posts?
- /7 people · 7 mentions · first linked 2023-08-25
- StarRocks vs. ClickHouse: The Quest for Analytical Database Performance2 people · 2 mentions · first linked 2023-03-01
What Hacker News says?
Looking at StarRocks site ( https://www.starrocks.io/ ), they compare against Clickhouse, Druid and Trino. Don't even compare against Spark/Databricks! Guess Spark is just not competitive.
Comment linking /
on “Databricks acquires Neon”Submitted StarRocks 4.0 Is Out: Faster Joins, Native JSON, and Full Iceberg Support as a story · 3 points
HN discussionHas anyone compared ClickHouse and StarRocks[0]? Join performance seems a lot better on StarRocks a few months ago but I'm not sure if that still holds true. [0] https://www.starrocks.io/
Comment linking /
on “ClickHouse gets lazier and faster: Introducing lazy materialization”Submitted Open-Source, High-Performance Analytical Database (ClickHouse Competitor) as a story · 2 points
HN discussionWow, I hadn't heard of StarRocks before... seems like an interesting competitor. https://starrocks.io/blog/clickhouse_or_starrocks
Comment linking /blog/clickhouse_or_starrocks
on “ClickHouse Cloud is now in Public Beta”Submitted Tencent Unifies Their Gaming Analytics with StarRocks as a story · 1 points
HN discussionHi PeterCorless! (We're friends IRL - it's Greg) While we're putting in plugs for open source alternatives, I'll recommend looking at StarRocks. https://www.starrocks.io/ I share Peter's sentiment for wishing everyone an easy transition, whatever you choose.
Comment linking /
on “OpenAI Acquires Rockset”Submitted StarRocks vs. ClickHouse: The Quest for Analytical Database Performance as a story · 1 points
HN discussionYou may want to take a look at Starrocks [1]. It is an open-source DB [2] that competes with Clickhouse [3] and claims to scale well – even with joins – to handle use cases like real-time and user-facing analytics, where most queries should run in a fraction of a second. [1] https://www.starrocks.io/ [2] https://github.com/StarRocks/starrocks [3] https://www.starrocks.io/blog/starrocks-vs-clickhouse-the-qu...
Comment linking /blog/starrocks-vs-clickhouse-the-quest-for-analytical-database-performance
on “Chronon, Airbnb's ML feature platform, is now open source”Submitted StarRocks Version 2.5 as a story · 1 points
HN discussionHow do you query your iceberg tables? We are looking into moving away from Bigquery and Starrocks [1] looks like a good option. [1] https://www.starrocks.io/
Comment linking /
on “Apache Iceberg”Looks like they're going the route of Starrocks? https://www.starrocks.io/ Basically decoupling the file/data storage from the distributed computation layer.
Comment linking /
on “Preview: Amazon S3 Tables and Lakehouse in DuckDB”One way to address that is by picking an analytical DB that works well with joins without needing to denormalize data. StarRocks claims [1] to do better than ClickHouse in that regard. [1] https://www.starrocks.io/blog/benchmark-test
Comment linking /blog/benchmark-test
on “How to stream PostgreSQL CDC to Kafka and use Propel to get an instant API”Key changes: ~60% faster execution (joins & aggregations), full Apache Iceberg support (hidden partitions, compaction API, optimized metadata), enhanced JSON handling with Flat JSON V2, major reductions in cloud-storage API usage through file bundling and metadata caching, plus SQL-level improvements such as Decimal256 and ASOF JOIN. The focus: stronger performance, better open-format support, and more enterprise-fr…
Comment linking /blog/starrocks-4.0-now-available
on “StarRocks 4.0 Is Out: Faster Joins, Native JSON, and Full Iceberg Support”Not to forget https://www.starrocks.io/ or https://risingwave.com/ - see also a recent blog post of a friend: https://juhache.substack.com/p/moving-from-bi-to-data-apps-p...
Comment linking /
on “The new local data stack: Integrating Dagster, dbt and DuckDB”https://www.starrocks.io/ is on my shortlist for OLAP
Comment linking /
on “Hydra: Column-Oriented Postgres”