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Apache Doris 4.1 expands unified storage and retrieval for AI and search workloads, introducing IVF vector indexes to scale vector search to the billion and trillion data scale, native 100MB JSON document storage for long-context AI, and more.
Apache Doris · 2026/4/24
From ClickHouse + Elasticsearch to Apache Doris: How Kwai Unified Trillion-Scale Ad Analytics
From OpenSearch to Apache Doris: How Advance.AI Cut Log System Costs by 50%
Leading AI Company Revamped Observability: 10x Faster Queries & 83% Cost Savings with Apache Doris
From Elasticsearch to Apache Doris: How a Leading Payment Platform Upgraded its Financial Security Analytics, Boosting Queries by 56x
Top commercial bank migrated from Elasticsearch to Apache Doris for PB-scale log storage and analytics
How Tencent Music saved 80% in costs by migrating from Elasticsearch to Apache Doris
Replacing Apache Hive, Elasticsearch and PostgreSQL with Apache Doris
How MiniMax Built a PB-Scale Log System for AI with Apache Doris
Apache Doris for log and time series data analysis in NetEase, why not Elasticsearch and InfluxDB?
