Welcome to the very first edition of the VeloDB Newsletter!
We're excited to kick off this monthly update as a way to stay connected with the growing community of big data professionals and Apache Doris enthusiasts around the world.
We'll bring you product updates from VeloDB, the latest news from Apache Doris, technical deep dives, event highlights, and community stories.
Thank you for your continued interest and support. We're thrilled to have you with us on this journey!
So here's what's new in July:
Case study highlight: migrating from Snowflake to Apache Doris
As the guest speaker of the VeloDB webinar on July 22, Parth Soni shared his firsthand experiences and technical insights after his successful migration from Snowflake to Apache Doris. Using Apache Doris in production, his team has reduced their monthly costs from $25K to $5K, while gaining truly real-time data ingestion, 5x faster query performance across various scenarios, and up to 90x speed improvements for large-table analytics.
Watch Parth's talk:
We've turned the talk into a blog post for a quick summary of the key points:
Benchmarks
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Apache Doris took on the JSONBench challenge: 1 billion JSON records, 1-second query response
JSONBench is a benchmark for data analytics on JSON. Specifically, it features 1 billion JSON data records sourced from real-world production environments, along with 5 SQL queries specifically crafted to test JSON structures. Apache Doris ranked well, right behind ClickHouse. But we dug deeper to see how much more we could cut query latency through optimization. We jot down how we fine-tune it because these tuning strategies can be very helpful for real-world users working with massive semi-structured datasets.
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VeloDB on AWS Graviton: a 32% boost in cost efficiency
VeloDB is now fully optimized for ARM architecture to make the most of its outstanding performance per watt.
As VeloDB is built on a highly parallel and vectorized engine, it is naturally well-suited to leverage the multi-core architecture of AWS Graviton processors. We deployed VeloDB clusters on both x86 and ARM-based instances in AWS EC2 and ran benchmark tests including ClickBench, SSB, SSB-Flat, TPC-H, and TPC-DS. We measured query performance gains and cost reductions to evaluate the overall improvement in price-performance ratio. The detailed results are shown here.
Blogs
Tech deep dives
- Real-time update: Why Apache Doris excels at OLAP: a deep dive into real-time update technology
- Lakehouse: Building real-time lakehouse with Apache Doris: a practical guide
- Lakehouse WBD(1): Starting with Apache Doris and S3 Tables
User stories
- Observability: Leading AI company achieves 10x faster queries and 83% cost savings with Apache Doris
- Observability: From ClickHouse to Apache Doris: powering trillion-log-scale analytics at a leading music streaming service
- Lakehouse analytics: SF Technology replaced Presto with Apache Doris to achieve 3x faster queries and 48% cost savings
- Lakehouse analytics: Kwai replaced ClickHouse with Apache Doris for a smart, unified lakehouse architecture
- Real-time analytics: From Elasticsearch to Apache Doris: how a leading payment platform upgraded its financial security analytics, boosting queries by 56x
- Real-time analytics: JD.com's exploration and practice with Apache Doris in real time OLAP
Upcoming events
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California, August 20
Real-Time IoT Analytics with Apache Doris: EMQX and VeloDB in Action
EMQX now supports real-time data ingestion into Apache Doris for efficient IoT analytics. EMQX is a large-scale distributed MQ and AI messaging platform that offers unlimited connections, seamless integration, and anywhere deployment.
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Hong Kong, August 22
NebulaGraph and Apache Doris Meetup: the New Fintech Paradigm
See full agenda here and sign up to save your spot!
Call for speakers!
As one of the largest contributors to the Apache Doris open-source project, VeloDB is bringing Apache Doris Meetups and Webinars to users around the world!
We're excited to connect with more Apache Doris users and big data enthusiasts, online and in person.
If you'd like to share your experience with Apache Doris and inspire the broader community, we'd love to hear from you!
Drop us your info here and we'll be in touch. Let's grow the Apache Doris community together!
Apache Doris 4.0 Preview
Get ready, Apache Doris 4.0 Preview is arriving this August!
Built for the AI era, Apache Doris 4.0 Preview is going to be your all-in-one engine for AI-native, real-time, and lakehouse workloads:
- Vector Index and vector search
- Fulltext search with BM25 relevance scoring
- AI in SQL
- LangChain Integration
- MCP Server for AI Agents
- High-concurrency real-time queries with smarter resource optimization
- Enhanced Lakehouse performance with better cost control
Contact us
- Curious about VeloDB? Start your free trial today and explore its powerful capabilities.
- Join the Apache Doris community to connect with developers and users around the world.
- Have questions, feedback, or ideas about Apache Doris or VeloDB? Drop us a message through our Contact Us form. We'd love to hear from you!
- Follow VeloDB on Linkedin to stay in the loop!