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
VeloDB offers three agent skills (architecture advisor, best practices, and cloud operations) to help agents handle infrastructure planning, performance tuning, and safe administrative commands in VeloDB.
Tom Zhang · 2026/5/29


How We Built Production Vector Search in Apache Doris

Apache Doris 4.1 on Iceberg V3: Running the Full Lakehouse Lifecycle from One SQL Engine

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

How Inverted Index Works in Apache Doris: 59x Faster Full-Text Search, 14x Faster Point Lookups

How to Build a Real-Time Web3 Analysis Infrastructure with Apache Doris and Flink

Apache Doris 4.0: Native Hybrid Search for AI Workloads

Fast JSON Analytics in Apache Doris: 100x Faster Than PostgreSQL and MongoDB

From PostgreSQL to VeloDB: Building Real-Time On-Chain Analytics for Web3 and Crypto