November is shaping up to be another exciting month at VeloDB with Apache Doris Summit 2025 right around the corner. But first, here are some recent highlights...
Highlights
Better Semi-Structured Data Analytics
Doris 3.1 introduces sparse columns and schema template for the VARIANT data type, allowing users to efficiently store, index, and query datasets with tens of thousands of dynamic fields, ideal for logs, events, and JSON-heavy workloads.
Stronger Lakehouse Support
Doris 3.1 brings better asynchronous materialized views into lakehouse, building a stronger bridge between data lakes and data warehouses. It also expands support for Iceberg and Paimon, making complex lakehouse workloads easier and more efficient to manage.
Apache Doris Up to 34x Faster Than ClickHouse in Real-Time Updates
We benchmarked Apache Doris against ClickHouse to see which handles real-time, update-intensive workloads more effectively:
- SSB (Star Schema Benchmark): Apache Doris is 18-34x faster than ClickHouse
- ClickBench: Apache Doris is 2.5-4.6x faster than ClickHouse
Event Recap
At the Iceberg Bay Area Meetup, we talked about how VeloDB bridges data lake and lakehouse to form a winning combination with Iceberg for real-time analytics. If you couldn't join us that day, our presentation slides will help you review the key insights!
Upcoming Events
Apache Doris Summit 2025 · Virtual
Starting at 2:00 PM PST, November 4
Check out these sessions and add your favorites to your calendar!
- Apache Doris Community Overview & 4.0 Preview
- Architecture problems of streaming AI pipelines (with Apache Doris) using public social posts sentiment analysis as an example
- Building real-time analytic solutions with VeloDB: Learn how VeloDB can help organizations accelerate their adoption of Apache Doris
- Real-Time Analytics with Apache Doris: The Three Proven Paradigms
- EV Charging and IoT Observability Platform - How Apache Doris can help solve problems in the EV charging industry and IoT log analysis
- Building an Observability Solution Based on Apache Doris: Open, High-Performance, and Cost-Efficient
- From Cloud to Core: How a Mexican Mining Giant Accelerated Insights with Apache Doris
- Bring Real-Time to Data Lake: Shaping the Future of Real-Time Lakehouse with Apache Doris
- Apache Doris in Action: What Comes Next after a Successful Migration from Snowflake
- Building a Telecom-Scale OLAP Platform with Doris
- From Postgres to Doris via Iceberg: Building a Seamless Modern Data Pipeline
- Apache Doris on ARM: Performance Tuning and AWS Graviton Best Practices
- An Open-Source Approach to Real-Time Analytics on Telecom CDRs
Virtual Webinar — October 30, 5:00 PM EST
Building an AI-Ready Data Stack: Integrating Lakehouse and Catalog for Unified Intelligence
Join us for a webinar to explore how modern data catalogs and lakehouse architectures can work together in an AI-ready data stack, helping you to eliminate data silos, deliver consistent data insights, and build a truly AI-ready architecture.
- Topic 1: Breaking Data Silos with Catalogs: How to Build Unified Analytics
- Topic 2: Catalogs as Context: Using metadata to power and govern the next wave of AI development
