- Products
- Solutions
Real-Time Analytics
Real-time database for real-time data warehousing, customer-facing and agent-facing analytics
Lakehouse Analytics
The fastest lakehouse SQL engine, replacing Trino/Presto, SparkSQL
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
VeloDB for AI
The AI-Ready analytics database for the AI era
- Docs
- Resources
- Pricing
- Contact us
Blog
Use Apache Doris for production-ready context retrieval: chunking strategy, embedding selection, and vector index choices.
Tom Zhang · 2026/5/15
AgentLogsBench: Scaling AI Observability to Match the Operational Reality of AI Agents
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
Beyond 10,000 Fields: Balancing Performance and Cost in Wide JSON with Apache Doris 4.1
Building a Real-Time AI Alerting System with Apache Doris and Claude Code
Apache Doris 4.1: Unified Storage and Retrieval for AI & Search
Set Up a Lakehouse with PostgreSQL, Apache Iceberg, and Apache Doris in 15 Minutes
VeloDB Performance Series Part 2: Lakehouse Query Performance, Analytics Over Open Table Formats
How an Autonomous Driving Company Unified Multimodal Search on a Single Analytics Engine
