- Products
- Solutions
Real-Time Analytics
Sub-second dashboards and data products on petabytes of data at any concurrency
Data Warehousing
Sub-second analytics on open lakehouse formats with no vendor lock-in
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
Context Engineering
Hybrid search and fresh context for RAG, agents, and LLMs
- Docs
- Resources
- Pricing
- Contact us
Blog
AI agents need real-time analytics, not just vector search. Apache Doris unifies both capabilities, offering native hybrid search, in one real-time engine built for agent workloads.
Matt Yi · 2026/6/24
VeloDB and Apache Doris Get Single-Binary CDC with Supermetal
ASOF JOIN Benchmark: Apache Doris vs ClickHouse and DuckDB
From Monolithic Access Control to Global Governance: A New Security Paradigm with Doris & Polaris
Introducing VeloCLI: An Agent-Ready CLI for Query Profiling and Cloud Operations
Hybrid Modeling for JSON in Agent Observability: VARIANT and Inverted Indexes in Apache Doris
VeloDB Agent Skills: Getting the most out of your database
How We Built Production Vector Search in Apache Doris
NetEase Games: From Elasticsearch, HBase, and ClickHouse to a Unified Apache Doris Lakehouse
Apache Doris 4.1 on Iceberg V3: Running the Full Lakehouse Lifecycle from One SQL Engine
