Apache Doris - Blog | Latest news and events

Apache Doris 5.0 Preview(1): A Unified Multimodal Lakehouse for Real-Time Analytics

A look at how Doris plans to extend unified search and real-time analytics across open lake formats and multimodal data.

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2026년 9월 4일Apache Doris · Mingyu Chen

Apache Doris x Lance for Autonomous Driving and Robotics Analytics
Doris and Lance combine episode search, structured filters, and OLAP analysis to help teams find hard cases and diagnose failures in Physical AI data.
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2026년 9월 8일Apache Doris · Wenqiang Li
Dynamic JSON in Agent Workloads: Apache Doris vs ClickHouse, Elasticsearch, and OpenSearch
AI agent logs create wide, fast-changing JSON payloads that are difficult to analyze with predictable latency. We compare how Apache Doris, ClickHouse, Elasticsearch, and OpenSearch perform in such scenario.
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2026년 8월 27일velodb.io · Max Li
Kwai Vector Search on Paimon with Apache Doris
Kwai queries Paimon vector indexes through Doris SQL. This article explains the Rust reader, index pushdown, and production benchmarks.
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2026년 9월 10일Apache Doris · Wenqiang Li; Kwai · Junrui Li, Shiyao Yu, Fangyuan Deng

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Doris Summit 2026 Recap: From Real-Time Analytics to Real-Time Intelligence

Explore Doris Summit 2026 keynotes and production stories from HubSpot, Sony Interactive Entertainment, Raiffeisen Bank Romania, and more as Apache Doris moves toward real-time intelligence.

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2026년 11월 11일Apache Doris · Mingyu Chen

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Apache Doris 4.2 Peer Read: 7.5× Faster Cold Queries with Shared Caches

Peer Read shares cached data across compute groups. A Doris cloud service workload saw 7.5× faster cold point queries, while a TPC-H 1 TB test cut cold-read time by 51%.

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2026년 11월 3일Xin Deng

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Apache Doris and Vane: Bringing Multimodal Data into Business Analytics

Turn support recordings into searchable text and embeddings, then join the results with tickets, orders, and production batches in Apache Doris.

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2026년 10월 29일Apache Doris

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Apache Doris and Lance: How Lazy Materialization Speeds Up Vector Search

Two-phase reads defer wide output columns until after TopN. Explore the query plan, row-ID fetch path, and a 104-million-row benchmark with roughly sixfold speedups.

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2026년 10월 28일Wenqiang Li

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From Real-Time Ingestion to Fresh Results: Incremental Computing in Apache Doris 5.0

Use Changelog, Table Stream, and incremental view maintenance to keep metrics and joined tables current, process changes inside Doris, and stream updates to other systems.

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2026년 10월 22일Apache Doris · Mingyu Chen

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Apache Doris and Lance: Inside Distributed Vector Search

How Doris queries Lance datasets with parallel search, prefiltering, late materialization, and SQL analytics, with benchmark results on up to one billion records.

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2026년 10월 15일Wenqiang Li

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Apache Doris x Fluss: Unified Queries Across Stream and Lake

Doris 5.0 queries recent Fluss events and current state alongside Paimon history through Union Read. Read modes and JVM memory controls shape how those queries run.

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2026년 10월 8일Apache Doris · Mingyu Chen

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Apache Doris 5.0 Variant Across Internal and Open Lakehouse Tables

A look at Variant in Doris internal tables and open lake formats, with an agent-trace example and guidance for choosing where to store data.

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2026년 9월 15일Apache Doris · Mingyu Chen

활용 사례

Kwai Vector Search on Paimon with Apache Doris

Kwai queries Paimon vector indexes through Doris SQL. This article explains the Rust reader, index pushdown, and production benchmarks.

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2026년 9월 10일Apache Doris · Wenqiang Li; Kwai · Junrui Li, Shiyao Yu, Fangyuan Deng

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Apache Doris 5.0 Preview(1): A Unified Multimodal Lakehouse for Real-Time Analytics

Apache Doris x Lance for Autonomous Driving and Robotics Analytics

Dynamic JSON in Agent Workloads: Apache Doris vs ClickHouse, Elasticsearch, and OpenSearch

Kwai Vector Search on Paimon with Apache Doris

Doris Summit 2026 Recap: From Real-Time Analytics to Real-Time Intelligence

Apache Doris 4.2 Peer Read: 7.5× Faster Cold Queries with Shared Caches

Apache Doris and Vane: Bringing Multimodal Data into Business Analytics

Apache Doris and Lance: How Lazy Materialization Speeds Up Vector Search

From Real-Time Ingestion to Fresh Results: Incremental Computing in Apache Doris 5.0

Apache Doris and Lance: Inside Distributed Vector Search

Apache Doris x Fluss: Unified Queries Across Stream and Lake

Apache Doris 5.0 Variant Across Internal and Open Lakehouse Tables

Kwai Vector Search on Paimon with Apache Doris