Apache Doris has grown tremendously over the past year and that growth is fueled entirely by you! Whether you're managing massive clusters in production or just spinning up your very first experimental project, your experience is the most valuable "source code" we have.
Your feedback isn't just a data point; it directly impacts what we build next. It helps us prioritize the features you care about and allows us to create the documentation and guides that make your work a little bit easier every day.
Upcoming Events
Feb 26, Virtual
Real-Time Context Engineering with CocoIndex and VeloDB
Context is the bottleneck for next-generation AI development. The session will include a live demo showing using CocoIndex and VeloDB for continuous index updates and real-time search results as the codebase changes.
Feb 28, Bangalore
Apache Doris × Apache Kafka × OLake Meetup
While the venue is full, we don’t want you to miss out. If you were interested in our session on Apache Doris 4.0, please simply reply to this email and we will share the event materials, session highlights, and information on future gatherings in your area.
March 6-8, Los Angeles
Come visit us at booth number 115.
March 9, San Francisco
Full-day event in Menlo Park celebrating and empowering women+ in open source with keynote talks, panels, hands-on workshops, and networking to foster inclusion and contributions in tech.
New Blog Highlights
5 Best Real-Time Analytics Platforms in 2026
Because every data hero needs the right tools, we break down the top players in the market to help you find the perfect balance of speed, scale, and simplicity for your specific tech stack.
8 Best Observability Tools in 2026
In a world of complex distributed systems, visibility is everything. We’ve curated a list of the must-have observability tools for the year ahead to help you monitor, trace, and debug your stack like a pro.
VeloDB Performance Series Part 1: Real-Time Analytics for Data Freshness, Concurrency, and Joins
Ever wondered how VeloDB handles high-concurrency workloads and massive joins without breaking a sweat? In part one of our new technical series, we peel back the curtain on the architecture that keeps your data fresh and your queries faster than a blink.
The AI Context Stack: Real Time, Traceable and Open Context with VeloDB and CocoIndex
LLMs are only as good as the context they have. Discover how VeloDB and CocoIndex team up to create a high-performance RAG stack that delivers fresh, relevant data to your AI models in milliseconds.
Apache Doris + Paimon: A Faster Lakehouse for Web3 On-Chain Analytics
Web3 data is massive and messy. See how the Doris-Paimon duo creates a specialized lakehouse architecture that makes analyzing complex blockchain transactions faster and easier than ever.
How to Build a Real-Time Web3 Analysis Infrastructure with Apache Doris and Flink
Learn how combining Flink’s stream processing with Doris’s analytical speed allows you to track on-chain movements as they happen.
New User Success Stories
From Trino to VeloDB: How ZTO Express Built a Lakehouse That's 10x Faster at 67% Lower Cost
Logistics giant ZTO Express needed more speed for less spend. By migrating from Trino to VeloDB, they achieved a staggering 10x performance boost while slashing their costs by 67%.
From OpenSearch to Apache Doris: How Advance.AI Cut Log System Costs by 50%
Advance.AI found a better way to handle massive log volumes. Discover how they moved away from OpenSearch to Doris, achieving a more resilient system for exactly half the previous cost.
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