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StarRocks reviews: what teams report in production

Blog post from Tinybird

Post Details
Company
Date Published
Author
Tinybird
Word Count
1,033
Company Posts That Month
21
Language
English
Hacker News Points
-
Post removed?
No
Summary

StarRocks reviews present a mixed but generally favorable view for join-heavy analytical workloads, with recurring praise for its cost-based optimizer, multi-table SQL performance, real-time Kafka ingestion, upsert support, and integrations with Iceberg, Delta Lake, and Hudi. Public feedback spans the open-source project and CelerData’s managed offerings, though managed-service ratings are based on a small number of reviews and frequently highlight responsive support. Common concerns include the operational burden of self-hosted deployments, the learning curve around architectural choices such as shared-nothing versus shared-data modes, and limited statistically robust review data. StarRocks is portrayed as a strong fit for organizations running complex BI queries, real-time dashboards, and lakehouse workloads with sufficient platform expertise, while ClickHouse may be more suitable for append-only, wide event-table analytics. The text also notes that StarRocks provides SQL analytics rather than a built-in product API layer, so teams needing authenticated HTTP endpoints and managed deployment workflows may need an additional platform such as Tinybird.

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