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How an Autonomous Driving Company Unified Multimodal Search on a Single Analytics Engine

An autonomous driving company consolidated fragmented data platforms by adopting Apache Doris as a unified analytics engine, enabling seamless search across text, vectors, labels, and metadata while reducing query times from minutes to seconds.

2026年4月18日velodb.io · Wesley Zhu

Querying Apache Doris Data as a Graph with PuppyGraph
PuppyGraph enables graph analytics on Apache Doris data without requiring separate graph databases or ETL pipelines, supporting relationship traversal queries through Cypher and Gremlin.
2026年4月9日velodb.io · Rayner Chen
Set Up a Lakehouse with PostgreSQL, Apache Iceberg, and Apache Doris in 15 Minutes
A step-by-step guide to building a lakehouse with PostgreSQL, Apache Iceberg, and Apache Doris in 15 minutes, covering CDC setup, data ingestion, and analytical queries on a fully open-source stack.
2026年4月23日velodb.io · Rohan Khameshra
From ClickHouse + Elasticsearch to Apache Doris: How Kwai Unified Trillion-Scale Ad Analytics
Kwai, a short-video platform with over 400 million daily active users, migrated its advertising analytics from ClickHouse and Elasticsearch to Apache Doris, achieving up to 90% latency reduction and 3x write throughput.
2026年3月20日velodb.io · Simin Zhou

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