Databend

Curious about the speed and cost of running TPC-H SF100 on a cloud warehouse built on AWS S3? Databend offers impressive savings: * 𝟔𝟕% 𝐥𝐞𝐬𝐬 𝐜𝐨𝐬𝐭 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐋𝐨𝐚𝐝𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐚𝐫𝐞𝐝 𝐭𝐨 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞. * 𝟔𝟎% 𝐡𝐢𝐠𝐡𝐞𝐫 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐟𝐨𝐫 𝐐𝐮𝐞𝐫𝐲 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧. For all the details and benchmarks, check out the link below! https://lnkd.in/giGPErdS

🚀 New Feature: 𝗧𝗘𝗠𝗣 𝗧𝗔𝗕𝗟𝗘𝗦 in #Databend! 🔥 Create temporary tables that are automatically dropped at the end of the session. No cleanup needed, just seamless, session-specific data handling! Learn more in our docs 👉 https://lnkd.in/gyRHu6h7

🎉 Nov 2024 Databend Updates 🎉 Check out this month’s new features, enhancements, and performance boosts designed to make your Databend experience even better. https://lnkd.in/eSnEPkCb Happy databending!

🚀 @CMUDB Building Blocks 📅 Dec 2, 4:30 PM EST 🎤 Talk: Apache OpenDAL: One Layer, All Storage 👤 Speaker: Xuanwo, Databend Labs Engineer Discover how #OpenDAL simplifies and scales database with seamless object storage. Don't miss it! https://lnkd.in/ewaCjKiM

🌟 Exciting News! 🌟 We are thrilled to announce that Xuanwo, Database Engineer at Databend Labs, has been invited to present at the CMU-DB Fall Seminar Series on December 2nd, 2024! 🎤 Xuanwo will be sharing insights on Apache OpenDAL: One Layer, All Storage, a revolutionary open-source project that simplifies and abstracts the interaction between databases and various storage systems. This powerful tool, originally created by Databend and now an Apache Incubator project, is transforming the way developers build scalable, flexible database systems. 👉 Key Highlights: - Learn how OpenDAL enables seamless storage integration. - Discover its impact on simplifying database system development. - Explore its real-world applications, adopted by over 400 open-source projects. This is a fantastic opportunity for database professionals, developers, and open-source enthusiasts to get a deep dive into one of the most exciting projects in the database space today. 🔗 Join us via Zoom: https://lnkd.in/eiq59HmG (Passcode 787637) 📅 Date: December 2, 2024 | Time: 4:30 PM (EST) Let’s connect and explore the future of database technology together! #ApacheOpenDAL #Databend #DatabaseEngineering #OpenSource #CMU #DatabaseTech #TechInnovation #CloudComputing https://lnkd.in/ewaCjKiM

🎉 Milestone alert! The #Databend Community has hit 200 contributors! We’re proud to be the open-source alternative to #Snowflake, delivering an exceptional product experience for both cloud and on-premises deployments. Huge thanks to everyone who made this possible! 🚀

🚀 Revolutionize Your User Behavior Analysis with Databend Cloud! Say goodbye to the complexity and high costs of traditional architectures like Hadoop and Kafka. With Databend Cloud, you can effortlessly build a high-performance, low-cost user behavior tracking system: ✔ Simplified architecture—no need for Kafka, Airflow, or other heavy components. ✔ Cost-efficient with object storage and elastic compute. ✔ Supports advanced SQL queries and semi-structured data like JSON. ✔ Built-in snapshot and time travel for data security and recovery. Transform your data into actionable insights while saving costs and streamlining operations. Ready to upgrade your analytics game? 🔗 Check out the details here: https://lnkd.in/eVn_T4s5 Happy Databending and take care! ✨

🚀 Storage-Compute Separation: A Journey Through Time 🌌 The evolution of storage-compute separation has been nothing short of transformative. From its humble beginnings to shaping modern data architectures, and now paving the way for the future — this journey is fascinating for anyone passionate about data systems. 1️⃣ Storage-Compute Separation (1/3): A Look Back at the Past (https://lnkd.in/edVKEBKN) Discover how storage-compute separation emerged and evolved, solving critical challenges in early data systems. 2️⃣ Storage-Compute Separation (2/3): Navigating the Present (https://lnkd.in/eMMCn7Jh) See how this architecture drives innovation today, enabling scalability, flexibility, and cost efficiency in modern workloads. 3️⃣ Storage-Compute Separation (3/3): Envisioning the Future (https://lnkd.in/eaKUHKHD) Explore where this separation is heading and how it might shape the next generation of data systems. If you're interested in the past, present, and future of data architectures, this series is for you! 💬 I'd love to hear your thoughts: How has storage-compute separation impacted your work? What do you think the future holds? 👉 Dive into the series and let me know your insights! Happy Databending and take care! 😊

🚀 Exciting news! Community developer 𝗥𝗼𝘄𝗹𝗮𝗻𝗱𝗲𝘃 has contributed a new feature to #Databend: 𝗔𝗪𝗦 𝗚𝗹𝘂𝗲 is now supported as a connection type for creating Apache #Iceberg catalogs! 🎉 This enhancement complements existing REST and Hive support, broadening #Databend's integration capabilities. PR: https://lnkd.in/gnD53cJg

New in #Databend: UUID (v7) Starting from version 1.2.658, generate 𝙩𝙞𝙢𝙚-𝙗𝙖𝙨𝙚𝙙 𝙐𝙐𝙄𝘿𝙨! With a built-in timestamp, UUID v7 ensures events are ordered chronologically, perfect for event logging & audit trails. This feature was requested by the community—thank you! https://lnkd.in/gippYT-e