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
VARIANT data type and native inverted indexes in Apache Doris offer a hybrid modeling approach that handles dynamic, schema-evolving agent observability logs with high performance.
Max Li · 2026/6/3


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

AgentLogsBench: Scaling AI Observability to Match the Operational Reality of AI Agents

The Chunking and Embedding Cookbook for Production Context Engineering

From Data Silos to Context Silos: What Database History Teaches Us About the AI Infrastructure Problem

Apache Doris 4.1 Spill to Disk: Running Memory-Intensive Queries Without OOM