- 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 and Log Analytics
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
Apache Doris offers vector search, full-text search, and structured analytics in a single SQL engine, providing a hybrid search and analytical processing infra solution for AI workloads.
Jack Jiang, Apache Doris committer & Senior Engineer @ VeloDB ·
Apache Doris + Paimon: A Faster Lakehouse for Web3 On-Chain Analytics
How to Build a Real-Time Web3 Analysis Infrastructure with Apache Doris and Flink
How ByteDance Solved Billion-Scale Vector Search Problem with Apache Doris 4.0
Deploying Apache Doris with MinIO: Analytics with Storage-Compute Separation
From OneLake to Insights: Building Modern Analytics with Apache Doris and Microsoft Fabric
Building Real-Time Lakehouse with S3 Tables, AWS Glue, and Apache Doris
Apache Doris Tops JSONBench in Cold Queries and Data Quality
Apache Doris Achieves 70% Better Price-Performance on ARM-based AWS Graviton
Apache Doris 4.0: One Engine for Analytics, Full-Text Search, and Vector Search
