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
VeloDB is a commercial data warehouse powered by Apache Doris, an open-source real-time analytics database. Founded in May 2023 by original contributors to Apache Doris, VeloDB provides enterprise-grade real-time analytics products and solutions to global customers. The team is composed of 70% R&D personnel and is led by long-time contributors to the Apache Doris project, including engineers with deep expertise in database systems and cloud computing.
Apache Doris is one of the world's most popular open source analytical databases. It graduated from the Apache incubator as a Top-Level Project in June 2022. It also stands as one of the most vibrant open source communities in the global database and big data domain, attracting tens of thousands of developers to exchange ideas, knowledge, and experience. To date, Apache Doris has gained over 4,000 enterprise users worldwide, spanning across dozens of industries.
Founded by original contributors to Apache Doris, VeloDB is one of the major contributors to the open source project. It has a dedicated full-time technical support team committed to driving continuous innovation and supporting the community.
50% of Doris PMC and committers onboard and a robust release mechanism to speed up iteration
Lead the development of essential functionalities of Doris and provide personalized support for users
Host the Apache Doris Summit
“We see the advent of a new era. We believe that modern data stack focuses on modern data warehouse, which is set to revolutionize and democratize the field of data analytics. Modern data warehouse is evolving to better real-time capabilities, as every facet of data analytics is requiring higher real-time performance.”