PinnedPublished inStarRocks EngineeringStarRocks 4.0 Now AvailableStarRocks 4.0 is here! Unveiled at the StarRocks Global Summit, version 4.0 marks the next major milestone in the StarRocks journey. In…Nov 5Nov 5
PinnedPublished inDev GeniusComparison of the Open Source Query Engines: Trino and StarRocksIn this post, we want to compare Trino, the popular distributed query engine that runs analytical queries over big volumes of data with…Dec 26, 2023A response icon2Dec 26, 2023A response icon2
PinnedPublished inStarRocks Engineering5 Brilliant Lakehouse Architectures from Tencent, WeChat, and MoreYour data lakehouse promised flexibility, scalability, and greater cost-effectiveness, but you’d consider yourself lucky if it could…Feb 17, 2024Feb 17, 2024
PinnedPublished inStarRocks EngineeringComparing Databases: A Technical GuideThere are a lot of different database solutions which offer a dizzying number of features. This guide is meant to help you match the…Oct 3, 2023Oct 3, 2023
When ETL Jobs Fail Halfway: The Hidden Cost of Non-Atomic Data OperationsIt’s 3 AM and your ETL pipeline just failed. Again.Nov 7Nov 7
StarRocks 4.0: Bringing Native Columnar Performance to JSONJSON was never designed for analytics. It’s extremely flexible, universal, and perfect for fast-changing data-but once those JSON logs and…Nov 7Nov 7
StarRocks 4.0: Delivering Query-Ready Data to Apache IcebergData in your Apache Iceberg tables often doesn’t land in a way that’s optimized for queries. Continuous micro-batch writes create tens of…Nov 6Nov 6
StarRocks 4.0: Catalog-Centric Access Control on Apache IcebergApache Iceberg gives teams an open, shared table format that any engine can use. But with that flexibility comes a challenge: how do you…Nov 6Nov 6
StarRocks 4.0: Zero Compromise, 60% FasterOLAP databases routinely claim performance advantages, yet industry-recognized benchmarks under production conditions reveal a different…Nov 5Nov 5