Apache Doris

Apache Doris is an open source real-time analytics database built on an MPP architecture. It runs fast SQL analytics, lakehouse queries and search on one engine.

Doris is designed for queries that need answers within seconds, even over large datasets. Use cases include customer-facing analytics, reporting dashboards and log analysis. It runs queries in parallel across many nodes, and it can query data kept in data lakes. Recent versions add full-text and vector search, so one SQL engine can handle structured filters and text-based questions in the same query.

• Parallel SQL analytics across many nodes
• Full-text and vector search in SQL
• Queries against lakehouse data
• Log and metric analytics for monitoring
• Profile analysis for finding slow queries

Data engineers who build analytics products, teams that run log and metric analytics, and companies that want one engine for reporting and AI-driven search over their data.

Doris is free to use under the Apache 2.0 license. Community support comes through a Slack channel, documentation, a free online course and a public roadmap. Like other analytics databases, performance depends on how tables are modelled and loaded, so test with realistic data sizes.