--- title: Dualbird | Re:invent --- [![](https://go.dualbird.io/hs-fs/hubfs/Screenshot%202025-09-05%20at%203.47.48%20PM.png?width=256&height=102&name=Screenshot%202025-09-05%20at%203.47.48%20PM.png)](https://go.dualbird.io/?hsLang=en-us) [AWS re:Invent **Booth #372**](https://go.dualbird.io/reinvent#meet) [Cocktail Hour **Dec 1**](https://luma.com/data-reinvent) [Book a meeting](https://go.dualbird.io/reinvent#book) AWS re:Invent 2026 · Las Vegas · Booth #372 # Same data stack. *New physics.* 10x–30x faster data processing with 50%–90% lower costs. **No changes required.** [Book a meeting at re:Invent](https://go.dualbird.io/reinvent#book) Hardware speed. Software simplicity. ## Mission-focused hardware for big data processing, available on AWS Accelerate your existing deployment with no engineering effort and zero time-to-value. - Compatible with Apache Spark, Amazon EMR & Amazon EKS - Optimized out of the box - Migration-free - No more performance tuning and troubleshooting Spark + DualBirdDone ✓     Spark     Same job, same cluster - full numbers in the benchmark below. 10–30x ### Faster processing Jobs that took hours finish in minutes, so pipelines, dashboards and AI models get fresh data on time.     50–90% ### Lower processing costs Less time on the clock means a smaller EC2 bill for the same work. Process more data, faster, for less. Change Spark executor's EC2 instance type to `f2`  Add the DualBird Spark plugin  See the results Zero tuning ### Elimination of manual tuning and calibration The hardware optimizes execution on its own. Zero migration ### No changes required Your Spark jobs run unchanged. No code rewrites. The benchmarks ## Numbers that speak for themselves. 100 GB sort-based Iceberg compaction on EC2. Sounds too good to be true? Come try it yourself. ### Processing cost   ### Processing throughput   [Get the white paper](https://dualbird.io) [Let's talk about your data workloads](https://go.dualbird.io/reinvent#book)       AWS re:Invent 2026 · Las Vegas · Nov 30 – Dec 4 ## Meet us at Booth #372. Live demos, performance and cost estimations for your Spark workloads, architecture deep-dive, and more. **--**Days **--**Hours **--**Min **--**Sec ### Leave your details Tell us about you and your Spark setup and we'll follow up.     ### Pick a time Grab a 30-minute slot with the DualBird team. **Collect your power-up card**Free DualBird collectible cards at the booth. [DEC**1** **Data Leaders Cocktail Hour**Dec 1 · 5–7 PM · Wynn Las Vegas. Co-hosted with Allot, Logz.io & BigData Boutique. RSVP →](https://luma.com/data-reinvent) AWS-Native Mission-focused hardware for big data processing © 2026 DualBird. All rights reserved. [![](https://go.dualbird.io/hs-fs/hubfs/Screenshot%202025-09-05%20at%203.47.48%20PM.png?width=256&height=102&name=Screenshot%202025-09-05%20at%203.47.48%20PM.png)](https://go.dualbird.io/?hsLang=en-us) © 2026. All rights reserved.