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

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

Deploying Apache Doris with MinIO: Analytics with Storage-Compute Separation
VeloDB Cloud 25.11: Better Data Security, User Experience, and Faster Billing

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

From OneLake to Insights: Building Modern Analytics with Apache Doris and Microsoft Fabric

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 Tops JSONBench in Cold Queries and Data Quality