Apache Doris 4.0: Data That Speaks
Apache Doris 4.0: AI-native database merging vectors, LLM SQL & real-time search—slashing 70% cost, 20× faster queries.
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Are you still troubled by complex data analysis processes? Apache Doris 4.0 brings revolutionary changes.
In the era of big data, enterprises are facing unprecedented data challenges: How to efficiently process massive amounts of data? How to reduce operational costs? How to enable data to truly provide real-time support for enterprise decision-making?
The release of Apache Doris 4.0 marks a major leap forward in the field of real-time data analysis.
This release revolves around three core directions: AI-driven, search-enhanced, and offline efficiency improvement. It introduces key features such as vector indexing and AI functions, perfects the search function matrix, and optimizes offline computation stability and resource utilization.
Through multiple underlying improvements, Doris 4.0 significantly enhances query performance and data quality, enabling users to build a more efficient and flexible enterprise-level data analysis platform.
During the development of version 4.0, more than 200 contributors submitted over 9000 optimizations and fixes to Apache Doris, ensuring the stability and performance improvements of the version.
