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Medium

How ZTO Express Rebuilt Real-Time Analytics on 500M Daily Updates with Inverted Index | by VeloDB, Powered by Apache Doris | May, 2026 | Medium

ZTO Express rebuilt real-time analytics on 500M daily updates using VeloDB, achieving 60x faster point queries, 5-10x faster aggregations, and 1/3 hardware cost.

Companies:VeloDB
Media MentionMay 19, 2026

VeloDB

Apache Doris 4.1: Unified Storage and Retrieval for AI & Search

Apache Doris 4.1 introduces IVF and IVF_ON_DISK vector indexes, full-text search with BM25, native 100MB JSON document storage, and significant performance improvements in OLAP and lakehouse queries.

Companies:VeloDB
AnnouncementApr 24, 2026

VeloDB Blog

Seamless PostgreSQL and MySQL Data Import in VeloDB Cloud

VeloDB Cloud introduces a new zero-code data import feature, enabling direct and real-time synchronization from PostgreSQL and MySQL databases without complex CDC pipelines.

Companies:VeloDB
AnnouncementApr 10, 2026

VeloDB Blog

VeloDB Cloud v26.0: The Unified Analytics & Search Foundation for the AI Era

VeloDB announced the official launch of VeloDB Cloud Core v26.0, powered by Apache Doris 4.0. This release transforms VeloDB into a Unified Analytics & Search Database, introducing Native Hybrid Search and In-Database AI Functions to support AI applications.

Companies:VeloDB
AnnouncementMar 31, 2026

VeloDB Blog

From Trino to VeloDB: How ZTO Express Built a Lakehouse That's 10x Faster at 67% Lower Cost

The article details how ZTO Express, a major Asian logistics company, migrated its data warehouse from Hadoop/Trino to VeloDB. This migration resulted in significant improvements, including 10x faster queries, 2,000+ QPS for concurrent point queries, and 67% cost savings. The case study highlights VeloDB's capabilities in handling real-time analytics at scale with high concurrency.

Companies:TrinoVeloDB
AnnouncementFeb 6, 2026

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