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
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 ·


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

Deploying Apache Doris with MinIO: Analytics with Storage-Compute Separation

Kafka Visual Ingestion Feature: No-Code Import from Kafka, Confluent to VeloDB

Introducing VeloDB Kafka Connector: Turn Kafka Streams into Real-Time Analytics

Building Real-Time Lakehouse with S3 Tables, AWS Glue, and Apache Doris

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

Apache Doris Up to 34x Faster Than ClickHouse in Real-Time Updates

Apache Doris 3.1 Released: Better Semi-Structured Data Analytics, Stronger Lakehouse Support